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All Journal Al-Risalah : Jurnal Imu Syariah dan Hukum Jurnal Adabiyah Jurnal Noken: Ilmu-Ilmu Sosial BILANCIA JURNAL USM LAW REVIEW Kuriositas: Media Komunikasi Sosial dan Keagamaan Amsir Law Jurnal (ALJ) International Journal of Business, Law, and Education International Journal of Engineering, Science and Information Technology Batara Wisnu : Indonesian Journal of Community Services International Journal of Economics (IJEC) Jurnal Smart Hukum (JSH) DELICTUM : Jurnal Hukum Pidana Islam Journal Of Technology and Information System (J-TIS) West Science Social and Humanities Studies Management Studies and Business Journal Journal Of Sport Education, Coaching, And Health IPSIKOM Bilancia : Jurnal Studi Ilmu Syariah dan Hukum
Rasna, Rasna
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ANALYSIS OF SERVICE BASED ON EXCELLENT SERVICE IN INCREASING CUSTOMER SATISFACTION AT EVA PERMATA KONAWE UTARA RESTAURANT Rasna, Rasna; Razak, Abdul; Supriaddin, Nofal
Management Studies and Business Journal (PRODUCTIVITY) Vol. 1 No. 11 (2024): Management Studies and Business Journal (PRODUCTIVITY)
Publisher : Penelitian dan Pengembangan Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62207/jxqthg78

Abstract

Service quality is a crucial factor in increasing customer satisfaction, especially in the competitive restaurant industry. However, the challenge in maintaining service consistency, especially in the dimensions of reliability and responsiveness, is a problem that is often faced by restaurants, including Eva Permata Restaurant. This research fills the knowledge gap by exploring the implementation of service excellence based on the SERVQUAL dimension (reliability, assurance, tangibles, empathy, and responsiveness) to improve service quality. The qualitative descriptive methodology is used through in-depth interviews, observations, and document reviews with informants that include managers, employees, and regular customers. The results of the study show success in the dimensions of assurance, tangibles, and empathy, while the dimensions of reliability and responsiveness require improvement, especially in operational management during crowded conditions. This research makes a theoretical contribution to the SERVQUAL literature in the restaurant industry and offers practical solutions in the form of strengthening SOPs, competency-based training, and the use of technology. By strengthening areas that need attention, this research can be a strategic reference to improve customer satisfaction holistically in the restaurant sector.
Corporate Governance, Financial Transparency, Risk Management, and Corporate Reputation: How They Influence Gen Z Investor Confidence Junaedi, Deddy; Rasna, Rasna; Sasmitha, Emdj Riesky
International Journal of Business, Law, and Education Vol. 6 No. 1 (2025): International Journal of Business, Law, and Education
Publisher : IJBLE Scientific Publications Community Inc.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56442/ijble.v3i2.967

Abstract

This study investigates the influence of corporate governance, financial transparency, risk management, and corporate reputation on Gen Z investor confidence. Using a sample of 300 Gen Z investors, the research employs multiple regression analysis to assess the relationships between these variables. The findings reveal that all four factors significantly and positively impact investor confidence, with corporate reputation and financial transparency having the strongest influence. The results highlight that Gen Z investors value companies that demonstrate ethical governance, transparent financial practices, strong risk management, and positive reputations. The study offers valuable insights for organizations aiming to attract and retain Gen Z investors, emphasizing the importance of maintaining high standards in governance, transparency, risk management, and corporate image.
Application Introduction and Learning Geometry of Space to Student Elementary School Using Method Rolling Hash Based on Android Fajri, Heri; Santioso, Lucy Lidiawati; Rasna, Rasna; Awal Nur, Muhammad; Ghaniy, Rajib
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.772

Abstract

Along with technological advancements, smartphones have evolved from being just a means of communication to now being multifunctional devices that reflect the status of their users and offer various features, such as cameras, music and video players, video calls, voice recorders, games, and internet access. These innovations' progress made them widely used by humans in their activities. One of the innovations that utilizes this technology is a building space introduction and learning application explicitly designed for elementary school students, using the Android-based Rolling Hash method. This application is an interactive educational tool that provides comprehensive information about building spaces, explains the various forms of building spaces, provides applicable examples, and offers solutions to related problems. This application's primary focus is implementing the Rolling Hash algorithm for string matching, which was chosen for its ability to perform fast and accurate matching in answering questions. By implementing this algorithm, the application can efficiently handle various questions involving strings, enhancing students' learning experience. This application uses Java programming language with ADT IDE for Eclipse and SQLite as a database system to store and manage data. The result of this final project is a learning application that not only facilitates the introduction of building space concepts to elementary school students but also shows how modern technology can improve learning methods. The Rolling Hash algorithm proved its effectiveness in fast and precise string matching, providing an optimal solution for this educational application and presenting a model of how technological tools can support primary education innovatively and practically.
Web-based Rabies Disease Diagnosis Expert System with Forward Chaining and Dempster Shafer Methods Salat, Junaidi; Rasna, Rasna; Ichsan, Muhammad; Abdullah, Dahlan; Lamsir, Seno
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.801

Abstract

Rabies is a hazardous zoonotic disease that poses a significant threat to both animals and humans, as it can result in death. The disease is caused by a single-stranded RNA virus commonly found in infected animals' saliva, which can be transmitted to humans through bites. Although many people keep animals as pets, many lack adequate knowledge about the potential risks of rabies transmission. In Indonesia, most cases of rabies transmission to humans are caused by bites from infected dogs, followed by bites from monkeys and cats. The absence of an effective treatment for Rabies makes prevention and early diagnosis extremely important. One approach that could help manage the disease is creating an expert system for rabies diagnosis. The Rabies Disease Expert System is developed based on a needs analysis conducted through interviews with veterinarians to understand the classification of symptoms and the diagnostic process for Rabies. It's important to note that while the system is a valuable tool, it does have limitations and should not replace the role of a veterinarian. The system employs two critical methodologies: the Forward Chaining and Dempster-Shafer algorithms. These algorithms allow the system to trace the progression of symptoms and calculate the probability of a rabies infection. The system is an interactive platform where users—such as animal owners or medical professionals—can input observed symptoms in either animals or humans. Based on these inputs, the system provides a probable diagnosis. For example, the expert system might determine that a dog is in the 'Excitation Stage' of Rabies with a 54% confidence level. The integration of Forward Chaining and Dempster-Shafer methods ensures that the system continuously refines its diagnostic accuracy, aiming for a confidence level close to 100%. This expert system offers a promising tool to aid in the early detection and management of Rabies, potentially reducing the risk of widespread transmission.
Tourism Development Strategy to Improve Community Economy Post Covid 19 Pandemic Jaya, Rahmat; Suhaeb, M. Iqbal; Hidayat, Novit; Rasna, Rasna; Arifin, Herjuno Ariwibowo
International Journal of Economics (IJEC) Vol. 4 No. 1 (2025): January-June
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijec.v4i1.1270

Abstract

This research aims to examine the possibility of a tourism development strategy in improving the community's economy after the Covid 19 pandemic. This research uses a qualitative method by conducting a literature study. This type of research is a type of research by presenting a collection of data from various literatures that are closely related to the side of the world tourism development strategy in improving the economic sector of the post Covid-19 pandemic community. The data taken can be in the form of scientific journals, books, articles and other sources of information relevant to the research topic. In the literature review research method, researchers usually carry out the process of searching and collecting data through various sources of information. After that, the collected data are analyzed and evaluated to support the formulation of hypotheses, theoretical frameworks, or conclusions in the research and then draw red threads and conclusions. The results of this study concluded that tourism is a very important sector for Indonesia, both in terms of economy and cultural promotion to foreign countries. To revive tourism in East Java after the COVID-19 pandemic. The East Java Provincial Government has made various efforts, including: tourism promotion strategies through public relations strategies, development of tourism destinations with various facilities, cooperation with public development, tourism, with a marine base.
Evaluation of Cloud-Based Financial Information System in Overcoming Company Liquidity Crisis Utama, Ahmad Nur Budi; Hidayat, Imam; Mutia, R. Dewi; Rasna, Rasna; Judijanto, Loso
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.831

Abstract

 This study evaluates the effectiveness of cloud-based financial information systems in addressing corporate liquidity crises. It aims to identify how cloud financial systems improve liquidity stability, financial decision-making, and operational efficiency while examining key implementation challenges. A mixed-methods approach was applied, combining quantitative multiple linear regression analysis and qualitative case studies from 10 selected Indonesian companies across various sectors. The study measured key factors, including financial data access speed, accuracy, cash flow prediction, and liquidity management efficiency. The quantitative results show that all independent variables positively and significantly impact corporate liquidity stability (p-value 0.05). Liquidity management efficiency (coefficient = 0.366) had the most potent effect, followed by financial data access (0.347), accuracy and transparency (0.340), and cash flow prediction (0.308). The qualitative findings further validate these results, with companies reporting better financial forecasting, reduced manual errors, and improved decision-making speed. However, key challenges include high implementation costs, cybersecurity risks, and system integration difficulties. Businesses must adopt strategic implementation plans, focusing on enhanced cybersecurity measures, affordable cloud solutions, and team member training programs to maximize cloud financial benefits. SMEs, in particular, require scalable cloud options to mitigate financial and technological constraints. Cloud-based financial systems significantly enhance corporate financial stability and sustainability. Companies that effectively integrate these systems will gain higher financial resilience and competitive advantage in the digital era. However, addressing cost, security, and integration challenges is essential for optimizing cloud technology adoption.
Implementation of Dijkstra and Ant Colony Algorithms for Web-based Shortest Route Search for LPG Gas Distribution Rasna, Rasna; Irjii Matdoan, Moh. Rahmat; Kumala Dewi, Nurlaela; Ariffien, Afferdhy; Lamsir, Seno
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.805

Abstract

National energy needs and efforts to fulfill them are currently vital issues to be discussed and resolved. One type of energy that still has various problems is fuel gas, especially LPG (Liquid Petroleum Gas). The gas scarcity in each region differs; not all regions experience gas shortages, and some areas have excess LPG gas stocks. The problem of the scarcity of 3 kilogram (Kg) LPG gas is not the first time this has happened. In recent months, people in some regions have complained about the scarcity of subsidized 3-kilogram (kg) LPG gas. This situation certainly makes it difficult for the community. Not only does the scarcity hamper community activities, but it also makes the price of gas refills more expensive than usual. With the increasing demand for LPG gas every year, the government must provide large stocks of LPG gas. But what power if the LPG gas stock is less or runs out at specific locations. Therefore, applying gas base route search is needed to overcome the shortage of gas stock at a location. This application applies two search methods, namely the Dijkstra algorithm and the ant colony algorithm, to find the fastest route to the location of the gas base in the XYZ area. In the algorithm process, Dijkstra requires distance data for each city before starting the algorithm process. The Ant Colony Algorithm does not require the distance of each city because, in an Ant Colony, the distance between towns is calculated after the ants complete their journey. From the results of the process of the two algorithms, it is known that the path produced by Dijkstra's algorithm is more consistent and precise than the Ant Colony algorithm, which gives results that are not necessarily the same for each process.
Weather Classification and Prediction on Imagery Using Boltzmann Machine Rasna, Rasna; Irjii Matdoan, Moh. Rahmat; Salat, Junaidi; J, Fitria; Lamsir, Seno
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.806

Abstract

Weather is a physical process or event that occurs in the atmosphere at a specific time and place, as well as its changes over a short period in a particular location on Earth. To produce weather forecast information, there is a series of processes that must be carried out until the weather information is conveyed accurately. The stages involved in the feature extraction process are carried out first. This process is carried out to obtain specific characteristics or features from a dataset. After the feature extraction process has been completed, the next step is to predict the weather based on the input images. To classify the weather on Earth using various algorithms, one of which is the Machine Boltzmann. The pattern recognition method used is Machine Boltzmann as an application of a simpler and more complex method. Generally, the weather prediction system using Machine Boltzmann consists of several stages, namely image acquisition, greyscale processing, segmentation/location using Sobel edge detection, classification using the Machine Boltzmann method, and finally producing output in the form of weather class results. The classification process in this research involves images of clear, cloudy, and rainy weather as inputs. The output of the system is the determination of whether the input weather image falls into the category of clear, cloudy, or rainy weather. The results of the study show that the classification of weather based on captured images has the highest accuracy for clear weather, with a percentage of 73.33%. For cloudy weather, the success rate is equal to the error rate, which is 50%, while rainy weather was not recognized at all.
Application of Tsukamoto Fuzzy Logic in Expert System Application for Diagnosing Web-Based Skin Diseases KN, Nurwijayanti; Rasna, Rasna; Ismail, Rima Ruktiari; Sugiharto, Agus; Nugroho, Fifto
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.827

Abstract

Skin health is essential for everyone. In addition to supporting someone who can reduce self-confidence, skin diseases can also interfere with a person's concentration in activities. An expert system is a system designed to be able to imitate the expertise of an expert in answering questions and solving a problem. The expert system will solve a problem obtained from a dialogue with the user. With the help of an expert system, someone who is not an expert can answer questions, solve problems, and make decisions that an expert usually makes. This needs to be anticipated and handled seriously, especially for types of skin diseases, some of which can be fatal, and some can even be classified as cancer. Experts are needed to diagnose each disease in this case, but consultation with experts requires costly funds. For this reason, this system is designed to help people diagnose skin diseases online, making it easier for sufferers to diagnose the diseases they suffer from by themselves. The method used is the fuzzy Tsukamoto method. Analysis of the introduction of the disease is carried out by identifying various symptoms of the disease. The types of diseases diagnosed include tinea versicolor [P001], scabies [P002], ringworm [P003], dandruff [P004], vitiligo [P005], pityriasis alba [P006], hives [P007], erythema multiforme [P008], acne [P009], keloids [P010], melanoma [P011], eczema [P012], boils [P013], measles [P014], psoriasis [P015], impetigo [P016], and herpes [P017]. Skin disease sufferers can diagnose their disease without consulting with a specialist directly. This system can be used as a substitute for a specialist in producing a diagnosis in the form of the name of the disease suffered by the system user (user). This system provides a solution for users regarding more economical disease diagnosis.
Forecasting the Inventory of Milled Dry Grain Using the Lot Sizing Method at Markom Rice Mill Ariffien, Afferdhy; Lamsir, Seno; Rasna, Rasna; Aini, Qurrotul; Irjii Matdoan, Moh. Rahmat
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.817

Abstract

Today's industrial activities are increasing with sophisticated technology, all applied to satisfy consumers in various services. One of the important parts of an industry is the inventory of goods. This is related to the continuity of the resulting production. In meeting the needs of consumers, a plan is needed in production so that there is no shortage of raw materials and the production process does not stop. Grain is an agricultural commodity whose demand and production levels occasionally increase. We can see that until now, our country, Indonesia, still imports rice from other countries, where rice is the main production product produced from grain. The problem can be solved with the Lot sizing method used in this study, which is used to determine the size of the order quantity. In the rice mill itself, grain storage has a limited capacity, so it cannot be directly stored with a large capacity when the price of grain is down. Applying this method as an application will make it easier to manage grain inventory at the rice mill and estimate inventory costs for the next 1 () year. The results of the lot sizing calculation (silver meal) show that for the next year, the smallest cost of procurement of dry milled grain (MDG) demand is obtained from the procurement of demand every month. In other words, procurement is more appropriate every month or period so that the costs incurred for grain inventory are smaller. The following data are the results of the silver meal lot sizing calculation: (1) 39015.4 kg, (2) 35871.2 kg, (3) 39536 kg, (4) 33894.8 kg, (5) 31402 kg, (6) 27982.5 kg, (7) 41461.9 kg, (8) 35336.7 kg, (9) 41305.6 kg, (10) 45717.5 kg, (11) 42007.9 kg, (12) 50828 kg. The cost incurred per order is Rp. 6,000,000
Co-Authors Abd Rahman Abdillah Abdul Rahman Sakka Abdul Razak Aderus, Andi Fadhil Andi Adyanata Lubis Agus Sugiharto Ahmad Nur Budi Utama Alexius Ulan Bani Ali, Husain Aminuyati Anwar, Alfiansyah Ariffien, Afferdhy Arifin, Herjuno Ariwibowo Baso Pallawagau Dahlan Abdullah Deddy Junaedi Dwi Nurahman, Dwi Eka Setiawati Erwin Hafid, Erwin Fifto Nugroho Ghaniy, Rajib Hafiz, Asnal Hakim, Jamaludin Hammado, Nurussyariah hasnia, Hasnia Heri Fajri, Heri Hidayat, Novit Irjii Matdoan, Moh Rahmat Irjii Matdoan, Moh. Rahmat Ismail, Rima Ruktiari J, Fitria Jadiaman Parhusip, Jadiaman Jamaluddin Jamaluddin Jaya, Rahmat Judijanto, Loso Jufri, Moh Jusmawati Jusmawati, Jusmawati Kasim, Amrah Khusnul Syam, Muhammad KN, Nurwijayanti Kumala Dewi, Nurlaela La Ode Ismail Ahmad, La Ode Ismail Lamsir, Seno Marlina, Andi Matdoan, Irjii Matdoan, Moh. Rahmat Irjii Muhamad Taher Jufri Muhammad Ichsan Mutia, R. Dewi Nur Hidaya Nur Hidayat, M. Ali Nur, Muhammad Awal Pababbari, Musafir Prasiwiningrum, Elyandri Putu Doddy Heka Ardana Qurrotul Aini Rosiana Dewi, Ni Wayan Emmy Safii, M Sah, Andrian Sahlan M Saleh Salat, Junaidi Santioso, Lucy Lidiawati Sasmitha, Emdj Riesky Septilia, Tiara Indah Septyana Prasetianingrum Siti Nurhayati Sitti Asiqah Usman Ali, Sitti Asiqah Usman Suci, Purnama Suhaeb, M. Iqbal Sukri, Indah Fitriani Supriaddin, Nofal Suryadi, Dikky Tenriawaru, Andi Nurlaily Thalib, Abdullah Timotius, Elkana Tonggiroh, Mursalim Widiyantoro, Muh. Riandi Widiyantoro, Riandi Yuntina, Lily