cover
Contact Name
Mega Novita
Contact Email
novita@upgris.ac.id
Phone
+6285867312111
Journal Mail Official
asset@upgris.ac.id
Editorial Address
Jl. Sidodadi Timur No.24, Karangtempel, Kec. Semarang Tim., Kota Semarang, Jawa Tengah 50232
Location
Kota semarang,
Jawa tengah
INDONESIA
Advance Sustainable Science, Engineering and Technology (ASSET)
ISSN : -     EISSN : 27154211     DOI : https://doi.org/10.26877/asset
This journal aims to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of science, engineering, and technology
Articles 141 Documents
Spatial Analysis of the Level of Accessibility of the Bobo Village Community in the Lore Lindu National park Area Istiqamah, Nurul; Muis, Hasriani; Massiri, Sudirman Daeng; Baharuddin, Rhmadhani Fitrah; Misrah, Misrah; Toknok, Bau; Maiwa, Arman; Rahman, Abdul; Hulu, Amati Eltriman
Advance Sustainable Science, Engineering and Technology Vol 6, No 2 (2024): February - April
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i2.18000

Abstract

This research aims to determine the level of community accessibility in the Lore Lindu National Park Conservation area and determine the level of community accessibility in reaching areas that have been selected based on the provisions of the Cooperation Agreement (PKS) between Lore Lindu National Park and the Bobo Village Government in 2021. This research uses spatial analysis with five variables: land use, slope, and distance from roads, rivers and settlements. Determining the weight of each variable uses the Analytical Hierarchy Process (AHP) method with sources from the Bobo Village community and the Bobo Village Conservation Management Institute. The research results show that with the AHP method, land use has a significant effect on the level of community accessibility with a weight of 52.3%, followed by other parameters, namely slope of 26.8%, distance from the main road of 11.3%, distance from the river is 3, 4%, and distance from settlements is 6.2%. Furthermore, three classes of accessibility levels for the Bobo Village community were obtained: low level covering an area of 390.94 ha (96%), medium level covering an area of 17.76 ha (4%) and high level surrounding an area of 0.11 ha. (0%).
Design of a Mobile-Based Wedding Information and Booking System using Backend as a Services (BaaS) on android platform Mahirssa, Rafif; Fachrie, Muhammad
Advance Sustainable Science, Engineering and Technology Vol 6, No 2 (2024): February - April
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i2.18284

Abstract

Nowadays, wedding organizer services have become a necessity in wedding events. However, it is often found that bookings are made manually to the vendor's location which results in impracticality. This research aims to build an application that brings practicality in the field of wedding organizers. Later this application has an online booking function carried out by wedding bookers and can establish communication with vendors in making wedding bookings. The focus of the research is to provide practicality to bookers and vendors. This research uses the Case Study method, interviews and observations conducted at Omah Kebon Resto as a case study. The application was built based on Android with Cloud Baas services on the Firebase platform for database management. The final evaluation was carried out by distributing questionnaires to respondents for the level of satisfaction of using the application built. The results stated that 37.12% of respondents were very positive, 45.41% stated positive, 13.54% stated neutral, and 3.93% stated negative. So, it can be concluded that respondents feel positive if this application can help practicality in getting information and booking wedding organizer vendors.
GOMS-based User Experience for Cultural Tourism Application in Indonesia Kurniawan, Muhammad David; Haryanto, Hanny
Advance Sustainable Science, Engineering and Technology Vol 6, No 1 (2024): November-January
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i1.17862

Abstract

Indonesia's diverse cultural heritage presents an opportunity for tourism, yet traditional approaches and insufficient technology utilization hinder its full potential. We propose the development of a Cultural Tourism Application, specifically targeting the rich cultural attractions of Yogyakarta, Indonesia. The research develop the GOMS (Goals, Operators, Methods, and Selection Rules) model to design user-friendly interfaces for discovering cultural attractions, providing detailed information, searching, and exploring historical timelines and helped us understand the steps and knowledge required for users to achieve their goals within the app This model allows for a systematic understanding of user interactions and cognitive processes within the context of the Cultural Tourism Application. A User Acceptance Testing (UAT) survey reveals a high level of acceptance 91.2% for the Cultural Tourism Application, signifying its effectiveness in enhancing learnability, efficiency, memorability, safety, and overall user satisfaction.
Utilizing Data Mining Techniques to Analysis Changes in Purchase Behavior of Batik’s Customers Setiawan, Danang; Alfiyani, Lisa; Sulistio, Joko; Qurtubi, Qurtubi
Advance Sustainable Science, Engineering and Technology Vol 6, No 2 (2024): February - April
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i2.18506

Abstract

Sales transaction data contains rich information potentially used to support company competitiveness. However, interpreting and utilizing transaction data in developing marketing strategies remains a challenge, even for big companies. Therefore, this research aims to develop marketing strategies using data mining techniques. A medium-sized company focusing on producing and selling traditional motif clothes (batik) will be used as a case study. The negative sales trend is the biggest issue currently faced by the company. Hypothetically, this problem is caused by imported products sold at lower prices or changing consumer behavior after pandemic covid. Currently, the company only implements simple analysis of its transaction data. The analysis of transaction data, conducted through five data mining stages, yielded a shift from purchasing small quantities to larger quantities, increased purchases during the final week of each month, and increased purchases on religious occasions. Furthermore, the analysis revealed that 31.29% of all transactions were attributed to loyal consumers, and 192 customers exhibited in Cluster 1 (high transaction quantities and high transaction values). Further investigation also revealed that customers categorized as loyal customers and Cluster 1 have different behaviors that can be used to develop further customer relationship programs. Future research can be conducted by employing data mining techniques to study the organization's assortment of products. Management discussions reveal that changes in consumer buying behavior extend to the selection of items and batik themes.
A Good Result for Blowfish Image Encryption Based on Stepic Cahyani, Anis Putma; Susanto, Ajib
Advance Sustainable Science, Engineering and Technology Vol 6, No 1 (2024): November-January
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i1.17332

Abstract

Information security is important in the era of evolving communications. Security methods are needed to protect data. Strong cryptographic algorithms, such as Blowfish, developed by Bruce Schneier in 1993, offer fast and reliable encryption. Blowfish uses 64 bit blocks and key lengths between 32 and 443 bits. This algorithm is famous for its robustness and encryption speed, with a Feistel Network structure and 16 rounds. This research implements Blowfish with Python and integrates it with steganography to insert secret data in digital images. Evaluation involves metrics such as Mean Squared Error (MSE), Peak-Signal-to-Noise Ratio (PSNR), Average Visibility (AVA), Uniform Average Change Intensity (UACI), and Percentage Pixel Change Value (NPCR) to measure quality and reliability encryption and decryption process by Blowfish.
Identification Of Chatbot Usage In Online Store Services Using Natural Language Processing Methods Daud, Anshar; Irwanto, Dola; Said, Muh; Mubyl, Mutiarini; Mustamin, Mustamin
Advance Sustainable Science, Engineering and Technology Vol 6, No 2 (2024): February - April
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i2.18309

Abstract

Chatbot is one of the implementations of artificial intelligence in helping human tasks. The way the chatbot itself works is to answer questions directly according to the database that has been created. Chatbot helps online store owners answer questions from the same customers so that there is efficiency in terms of employee salaries. 40 questions that are often asked by customers to the online store admin. In its use, chatbot is one of the implementations of machine learning, where the function of machine learning itself is to improve the ability of machines to learn new information from data and develop the ability of machines to solve problems. Machine learning requires instruction from training data or input to teach machines how to solve problems, answer questions, and draw conclusions from the results of data processing. Furthermore, it is processed using Natural Language Processing (NLP). Natural Language Processing (NLP) is a branch of artificial intelligence that is able to study communication between humans and computers through natural language. The processing stages are identifying the intent, processing the input and displaying the results according to the input. Followed by testing the accuracy level. Then conduct testing using 40 question and answer data. Then obtained 36 answers that are appropriate and 4 answers that are not appropriate with the percentage of accuracy of the answers generated from the chatbot is 90 percent. The results of this test can answer the questions asked by customers. This chatbot can make it easier for customers to get information with a very good level of accuracy.
Analysis of Improving the Quality of Fatty Acid Methyl Ester (FAME) Products Against Acid Value (AV) Levels Using the Six Sigma and Kaizen Methods Afifi, Mohammad Salva; Dahda, Said Salim
Advance Sustainable Science, Engineering and Technology Vol 6, No 2 (2024): February - April
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i2.18502

Abstract

. PT XYZ is a palm oil derivative processing company that produces biodiesel / FAME (Fatty Acid Methyl Ester) products. However, there are several obstacles that still occur during the company's production process which causes the acid value (AV) level of FAME products to not meet specifications and there are 3% defective products. Therefore, this study aims to determine the improvement plan by applying kaizen to the Six Sigma improvement stage and reducing outspec products in the FAME production process. The results of the research conducted using the six sigma method show that the company has a DPMO value of 71,459 and a sigma value of 2.96 which is in the average position of the industry in Indonesia based on the results of data processing. While recommendations for improvement by implementing kaizen include training machine operators, making standard operating procedures (SOPs) for machine inspections on each shift, reducing the amount of strearin added to AV raw materials before pre-treatment, maintenance and machine calibration.  This step are expected to overcome the main problems identified in the study.
Developing Decentralized Data Storage Network Using Blockchain Technology to Prevent Data Alteration Putra, Ryan Adi; Ardiansyah, Rizka; Pusadan, Mohammad Yazdi; Kasim, Anita Ahmad; Joefrie, Yuri Yudhaswana
Advance Sustainable Science, Engineering and Technology Vol 6, No 1 (2024): November-January
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i1.17772

Abstract

In the face of escalating global data exchange, the pronounced vulnerability oftraditional centralized storage networks to manipulation and attacks poses a pressing challenge. Digital service providers, entrusted with vast datasets, grapple with the formidable task of ensuring the security, integrity, and continuous availability of their stored information. This paper tackles these multifaceted issues by proposing a decentralized data storage network empowered by blockchain technology. This approach systematically mitigates the inherent susceptibilities of centralized systems, thereby providing heightened resilience against unauthorized alterations and malicious attacks that compromise digital information integrity. Moreover, the decentralized model holds significant promise for securing public data. By leveraging the transparency and immutability of blockchain ledgers, this approach not only safeguards against unauthorized access but also actively fosters transparency and accountability in data management. This makes it particularly well-suited for ensuring the security and integrity of public data, addressing concerns related to trust and reliability in the ever-evolving landscape of information exchange.
Quality Control Analysis Using Statistical Quality Control (SQC) And Failure Mode Effect Analysis (FMEA) In The Production Process Of Za Plus Fertilizer Ali, Syehan Habib; Widyaningrum, Dzakiyah
Advance Sustainable Science, Engineering and Technology Vol 6, No 1 (2024): November-January
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i1.17358

Abstract

The company PT.XYZ is an industrial logistics entity that has a main division in the field of warehousing and MBU, with a special focus on fertilizer bagging activities. The problems faced by this company are related to defects that occur in the fertilizer bagging process. This research aims to identify the most common defects, the factors that cause defects, and develop proposed corrective actions to improve the quality of fertilizer bagging. The research methodology applied involves Statistical Quality Control (SQC) and Failure Mode Effect Analysis (FMEA), using tools such as check sheets, pareto diagrams, control maps, and fishbone diagrams. The results of the research using the Statistical Quality Control (SQC) method showed that the most significant defect in the fertilizer bagging process was the tear defect, reaching a percentage of 58%, followed by the seam defect at 27%, and the underweight defect at 15%. Meanwhile, analysis with the Failure Mode Effect Analysis (FMEA) method shows that the type of tear defect has the highest Risk Priority Number (RPN) value, caused by a lack of caution when carrying out the process of putting fertilizer into pallets. As a recommendation for improvement, it is recommended to organize training on work procedures for employees to improve their understanding of the work procedures that apply at PT.XYZ. This step is expected to address the main problems identified in the study, especially related to the lack of care in the process of bagging fertilizer into pallets, so as to improve the quality of fertilizer bagging in the company.
Development of Website-Based Stunting Prevention Educational Media Services (Case Study: UPT Puskemas Tirto Pekalongan) Kusumasari, Dinita; Subhiyakto, Egia Rosi
Advance Sustainable Science, Engineering and Technology Vol 6, No 2 (2024): February - April
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i2.18530

Abstract

UPT Puskesmas Tirto is a public health center located in the West Pekalongan sub-district that provides maternal and child health poly services.  This poly provides educational services related to the problem of stunting in children through Posyandu activities. However, providing educational services is less effective and efficient because some parents do not have much time to attend counseling so information is not conveyed properly. This research aims to optimize the provision of educational services to parents, prospective mothers, and young women through the use of information technology by developing a website-based stunting prevention educational media service using the ReactJs framework. The development process of this research is carried out by prototyping method. Based on the results of testing using the Blackbox method, it shows that the main features such as nutrition check services, consultation services with Puskesmas nutritionists, and literacy services in the form of articles in the application can run well according to their functions in providing stunting prevention information with 100% results.