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All Journal JOURNAL ONLINE OF PHYSICS Jurnal Dinamika Informatika (JDI) Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) NUSANTARA: Jurnal Pengabdian Kepada Masyarakat JTH: Journal of Technology and Health Jurnal Publikasi Ilmu Komputer dan Multimedia
Tri Hastono
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Computer Science & IT Health Professions Medicine & Pharmacology Nursing Physics Social Sciences Other

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DATA SECURITY STRATEGY BASED ON STORED PROGRAMS: A CASE STUDY OF DSS FOR TEACHING ASSISTANT SELECTION Ciptadi, Prahenusa Wahyu; Tri Hastono; Kharismajati, Gema; Syah, Firdiyan; Fahriza, Nayaka Anung
JTH: Journal of Technology and Health Vol. 2 No. 1 (2024): July: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61677/jth.v2i3.371

Abstract

Data security is becoming increasingly crucial in information system management, especially in academic environments that handle sensitive information. The reliance on digital systems demands the protection of data integrity, confidentiality, and availability. High-level data security is also required in the Decision Support System (DSS) application for selecting Teaching Assistants at Universitas PGRI Yogyakarta. The DSS helps determine candidates based on GPA, experience, and skills. However, this system is vulnerable to threats such as unauthorized data modifications, access abuse, SQL Injection, and cyber-attacks that can impact decision-making. Stored Programs in databases provide an effective solution to enhance data security. This research aims to design Stored Programs as a security strategy for data input into database tables. The types of Stored Programs designed in this study include Stored Procedures, Functions, and control programs. The design methodology for the Stored Programs follows the waterfall method. The test results indicate that the Stored Programs function as expected and execute in a very short time. The execution of Stored Programs takes only 0.0059 seconds.
DATA SECURITY STRATEGY BASED ON STORED PROGRAMS: A CASE STUDY OF DSS FOR TEACHING ASSISTANT SELECTION Prahenusa Wahyu Ciptadi; Tri Hastono; Gema Kharismajati; Firdiyan Syah; Nayaka Anung Fahriza
JTH: Journal of Technology and Health Vol. 3 No. 2 (2025): October: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61677/jth.v3i2.365

Abstract

Data security is increasingly crucial in managing information systems, especially in academic environments handling sensitive data. The reliance on digital systems demands protection of data integrity, confidentiality, and availability. Educational institutions must secure student, faculty, and administrative data to prevent unauthorized access and manipulation. One system requiring high security is the Decision Support System (DSS) for Teaching Assistant selection. DSS helps determine candidates based on GPA, experience, and skills. However, it is vulnerable to unauthorized data changes, access abuse, SQL Injection, and cyber threats that may affect decision accuracy. Stored Programs in databases provide an effective solution for enhancing data security. With Stored Procedures, Functions, Triggers, and Events, data management becomes more secure and structured. These features enable stricter access control, database operation automation, and direct validation to reduce errors and misuse. In the DSS case study, Stored Programs ensure that only authorized users can access and modify data. Authentication and authorization mechanisms restrict access based on user roles. This study analyzes security risks, system architecture design, Stored Program implementation, and its effectiveness in maintaining data integrity. Research results confirm that the developed Stored Programs meet expectations. The CRUD feature operates optimally with a processing time of 0.0059 seconds.
Penerapan Metode Logika Fuzzy Mamdani Untuk Menentukan Jumlah Pendapatan Penjualan Produk Umpan Pancing Binurilfatikhah, Barikna; Tri Hastono; Tyas Sulistyawati
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol. 3 No. 1 (2024): Januari: Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v3i1.2485

Abstract

Anugerah Jaya Finishing Store 99 is one of the online stores that sells fishing bait. Fishing bait is a crucial factor in improving the efficiency of fish capture, and there are two types of fishing bait : artificial bait and natural bait. Income is the money generated from the sale of goods or services to costumers and is the most important aspect in determining the smooth operation of a business. To determine the amount of income in this study, one of the fuzzy logic methods, namely mamdani fuzzy logic, was used. Mamdani fuzzy logic was chosen because it is the method that is most similar to human logic.
AVOCADO STOCK PREDICTION IN BANTUL CITY USING MAMDANI FUZZY LOGIC Wisnu Setiawan; Tri Hastono; Gunawan, Riyan Fahmi; Rama Sona
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol. 3 No. 1 (2024): Januari: Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v3i1.2524

Abstract

This journal discusses the development of an avocado stock prediction model in Bantul City using the Mamdani fuzzy logic approach. In this context, fuzzy logic is used to address the uncertainty and complexity associated with factors affecting avocado supplies, such as stock variability, demand and price variables. The Mamdani approach is applied to formulate fuzzy rules based on a combination of expert knowledge and historical avocado stock data. This method aims to produce avocado stock predictions that are more accurate and adaptive to market dynamics. Through a series of experiments, the results show that the Mamdani fuzzy logic model has a significant level of accuracy, outperforming traditional stock prediction methods. The results obtained show the potential of this model in improving the efficiency of avocado inventory management at the local level. This research makes an important contribution especially in the context of agribusiness, providing a foundation for a more sophisticated and adaptive prediction approach to avocado fruit stock management. The implications are widely applicable in the agribusiness sector and provide a basis for the development of similar prediction systems for other agricultural commodities.
Application of the Fuzzy Mamdani Method for Predicting Rainfall in the City of Yogyakarta Rohman, Abdul; Tri Hastono; Andri Prisda Tyaka
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol. 3 No. 1 (2024): Januari: Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v3i1.2544

Abstract

Weather and climate play an important role in everyday life, influencing various aspects of society and the environment. The city of Yogyakarta as a cultural center cannot be separated from the impacts of climate change, including rainfall patterns which can have significant effectiveness on daily activities, agriculture and infrastructure. This research uses a fuzzy logic methodology approach with the Mamdani method to predict rainfall. Fuzzy logic has proven to be effective in cold situations and is able to overcome the challenges of missing or incomplete data. The data used in this research was obtained from Bappeda DIY. The implementation for predicting rainfall levels uses Matlab by utilizing the provided Fuzzy Logic Matlab Toolbox. Based on research conducted using a fuzzy logic test to calculate all research accuracy data, an average error value in RMSE was obtained of 39.88%. These results indicate that there is significant error in these predictions, indicating that the fuzzy logic control model is not completely accurate. Therefore, it is necessary to review the data used in this prediction to ensure its accuracy.
Menerapkan Konsep Logika Fuzzy Dalam Meningkatkan Efisiensi Persediaan Barang Dengan Menggunakan Metode Mamdani Galih Yudhistira; Pika Aliya Widiastuti; Rahyuni; Tri Hastono
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol. 3 No. 1 (2024): Januari: Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v3i1.2557

Abstract

Jars are one of the handicrafts used as a tool to fulfill daily life, and have social, ritual and artistic values. With good prospects to be developed considering the market potential that is increasingly widespread in its use. So that a good promotional strategy is needed to improve the urn product industry. The method used in this research is Fuzzy Logic Mamdani which can overcome uncertainty and complexity of information in decisions. For data collection in this study, namely by survey or asking directly to the urn seller. The objectives of this study include the application of Mamdani calculations, prediction of urn stock, and guidelines for determining the optimal amount of production. From the calculations obtained, demand increased by (0.029), products sold a lot by (0.105) and inventory increased by (0.222).
Penerapan Logika Fuzzy Sugeno Dalam Memprediksi Besar Komisi Penghasilan Pada Toko Karunia Ijo Di Malang Dimas Maulana Hakim; Tri Hastono; Yanuar Arifia Ranggana
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol. 3 No. 1 (2024): Januari: Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v3i1.2583

Abstract

Abstract. Karunia Ijo sewing equipment shop in Malang is a place that has an important role in supporting the creative industry, especially in the fields of fashion and handicrafts. In this shop, we find various kinds of sewing equipment that are really needed by professional tailors, hobbyists and convection business people. This research aims to determine the amount of commission at the Karunia Ijo sewing equipment shop in Malang by considering the factors that influence the amount of commission on purchases. This research was conducted using the Sugeno method of fuzzy logic by determining the price of goods, purchase time, and volume of goods as the input, and the amount of commission as the output. The steps taken in this research are determining the degree of membership of each set of input variables which is referred to as fuzzyfication, then determining fuzzy rules, and carrying out fuzzification to get the final value in the form of the output of the purchase commission amount. The test result using Matlab was 5 while the result from manual calculations was 4.81. There is a slight difference, namely a difference of 0.19 but it is still in the large output category.
Weekly Tofu Stock Prediction with Mamdani Fuzzy Method Nanda Aiken El Islamy; Tri Hastono; Adhitya Chandra Wibowo
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol. 3 No. 1 (2024): Januari: Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v3i1.2584

Abstract

This research aims to predict weekly tofu stock using the Mamdani Fuzzy Method. This method is used to overcome the uncertainty and complexity in estimating tofu stock, which is influenced by various factors such as inventory, ingredients, and ingredient prices. By applying fuzzy logic to describe the uncertainty in the data, this model can provide more accurate stock predictions. This research involves collecting weekly tofu stock data from a specific time period and developing a fuzzy inference system based on relevant input variables. Experimental results and model validation show that the Mamdani Fuzzy Method can be an effective approach to predict weekly tofu stocks with satisfactory accuracy. The practical implications of this research can assist the tofu industry in optimizing inventory management and responding more appropriately to fluctuations in market demand.
A Furniture Sales Profit Using the Tsukamoto Method: Indonesia, Dzakwan Adib; ADAM, ADAM TAUFFIQURRAHMAN; Tri Hastono; Diky Setiawa
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol. 3 No. 1 (2024): Januari: Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v3i1.2633

Abstract

Abstract. Optimal profit can be achieved through maximum sales results with minimal costs. Besides meeting market demand, cost utilization is also a crucial factor in determining optimal outcomes (Muflikhudin 2021). To address the challenges faced by the discount store in Sampit, several necessary steps should be taken. These include analyzing customer demand data by having the store owner pay attention to frequently requested items. Additionally, enhancing product availability by increasing inventory levels and implementing more effective inventory management systems through various methods to prepare product stocks (Beu and Husna 2019). The aim of this research is to predict revenue for a specific period based on sales turnover (Rahmawati, Rahima Dina, and Wartono 2020).
Prediksi Produksi Bawang Merah di Kota Yogyakarta menggunakan Metode Fuzzy Mamdani Zaky Noer Jati; Tri Hastono; Ferdi Andrian
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol. 3 No. 1 (2024): Januari: Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v3i1.2635

Abstract

This study discusses the prediction of shallot production in Yogyakarta City using the Fuzzy Mamdani method. The research is important due to the impact of shallot production fluctuations on the national economy. The Fuzzy Mamdani method was chosen for its high level of flexibility and tolerance for existing data. Data was collected from Bappeda DIY and shallot farmers to build the prediction model. The prediction implementation was carried out using Matlab R2015a with Fuzzy Logic Matlab Toolbox. The prediction results were evaluated using the RMSE value. The study concludes that the Fuzzy Mamdani method can be used for predicting shallot production with an error rate of 14.11%. However, the study suggests a review of the data used in the prediction to ensure its accuracy. Several references used in the study are also included.
Co-Authors Abdul Rohman ADAM, ADAM TAUFFIQURRAHMAN Adhitya Chandra Wibowo Adikka Yudha Bintang Ramadan Andri Prisda Tyaka Anjas, Anjas Ari Irawan Ari Kusuma Wardana Ayup Panjaitan Wicaksana Berliana Nur Isnayni Binurilfatikhah, Barikna Ciptadi, Prahenusa Wahyu Diky Setiawa Dimas Maulana Hakim Dzakwan Adib Fahmi Azkarizal Astrian Fahriza, Nayaka Anung Ferdi Andrian Firdiyan Syah Galih Yudhistira Gema Kharismajati Gunawan Gunawan Gunawan, Riyan Fahmi Kharismajati, Gema Mirna Septianingrum Solikhah Nanda Aiken El Islamy Nayaka Anung Fahriza Nurirwan Saputra Pambudi, Brevi Istu Pika Aliya Widiastuti Prahenusa Wahyu Ciptadi Purnama, Bayu Gilang Rahyuni Rama Sona Ramdan Harjana Sefti Rohana Sunggito Oyama Syah, Firdiyan Tyas Sulistyawati Widyawarman, Danang Widyawarman, Danang Wisnu Setiawan Yanuar Arifia Ranggana Zaky Noer Jati