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SAGA: Journal of Technology and Information Systems
Published by CV. Media Digital Publikasi Indonesia
ISSN : -     EISSN : 29858933     DOI : https://doi.org/10.58905/saga
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Library & Information Science
SAGA: Journal of Technology and Information Systems, a premier peer-reviewed academic international journal dedicated to the advancement of knowledge and research in the field of technology and information systems. Our journal is committed to publishing high-quality, original research that explores the intersection of technology and information systems in the contemporary world. We publish four issues (February, May, August, November) per year and welcome submissions from researchers at all career levels and from any geographic location. Our scope is divided into two sections, each containing twenty areas of focus Technology and Information Systems We are committed to promoting diversity and inclusivity in our editorial process and encourage submissions from underrepresented groups. Our rigorous peer review process ensures that only the most impactful and rigorous research is published in our journal.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 40 Documents
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Chemical And Organoleptic Quality Of Suction Pudding With Variations In The Type And Concentration Of Carrot Extract (Daucus carota L.) L Listiana; Kurnia Hartati, Fadjar; Bambang Sigit
SAGA: Journal of Technology and Information System Vol. 1 No. 4 (2023): November 2023
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v1i4.234

Abstract

Carrots are one type of vegetable that is rich in vitamin A. In order to increase carrot consumption, it is necessary to diversify carrot-based preparations, among others, by adding carrots to the pudding suction. This study aims to determine the effect of the interaction of the type and concentration of wotel extract on the chemical and organoleptic quality of lipo pudding as functional food. The research method used is experimental laboratory with Complete Random Design (RAL) research design which is arranged factorially with 2 (two) factors. The first factor is the type of carrot extract, namely boiled carrot extract and fresh carrot extract. The second factor is the difference in carrot extract concentration, which is 7%, 10% and 13% carrot extract. Each treatment factor was repeated 3 (three) times resulting in 18 trials. Observational variables include β-carotene tests, crude fiber tests, reduction sugar tests, and organoleptic tests. Based on the results of the study showed that the interaction between different types and carrot extracts had no real effect on β-carotene levels, crude fiber levels, sugar reduction levels. The best treatment in this study was the F2B treatment, namely suction pudding with the addition of fresh carrot extract with a concentration of 10% with the highest Yield Value (NH) of 0.87. The criteria for the parameters of the study were β-carotene content = 983.0 ppm, crude fiber content = 2.1%, reduced sugar content = 14.37%, color = 5.05 (somewhat like), taste = 5.07 (somewhat like), aroma = 4.67 (somewhat like), and chewiness = 4.71 (somewhat like).
Application of Sentiment Analysis in the Reshot Method to Improve User Experience of the Hijra Bank Application Ma'arif, Ridwan Ahmad; Triayudi, Agung
SAGA: Journal of Technology and Information System Vol. 2 No. 1 (2024): February 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v2i1.240

Abstract

The first stage in simplifying User Experience (UX) using the RESHOT method is Refine the Challenge. This stage is carried out so that design practitioners know the problems or needs of application users through product research. However, the product research methods that can be carried out at this stage are very diverse and require time. This research aims to explain a product research method that can be used by design practitioners easily and quickly, namely the sentiment analysis method with the Naïve Bayes algorithm. Naive Bayes is a classification method based on simple probability. The results of this analysis will be used as a reference for improving UX using the RESHOT method on the Hijra Bank application. The results of product research using sentiment analysis obtained 2711 opinions originating from tweets on Twitter and user reviews of the Hijra Bank application on Google Play. Of the 2711 opinions, 149 had negative sentiment, with the most frequently mentioned opinions being "Customer" and "Data" with an analysis accuracy of 92%. The results of this analysis are converted into a hypothesis, which will later become a reference in designing interfaces using the RESHOT method.
Application of Preference Selection Index in Recruitment of Search Engine Optimization Specialist Marbun, Nasib; Pozilova, Shahnoza Khaydaraliyevna; Shahadi, Haider Ismael; Ghosh, Ankush
SAGA: Journal of Technology and Information System Vol. 1 No. 4 (2023): November 2023
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v1i4.241

Abstract

Search Engine Optimization Specialist is one of the important factors that can help digital agencies improve services to all their customers. This research aims to develop a decision-making system in the recruitment process of Search Engine Optimization Specialists by applying the Preference Selection Index method. The Search Engine Optimization Specialist recruitment decision-making system in this study uses 5 (five) criteria, namely educational background, ability to use SEO tools, work experience as a Search Engine Optimization Specialist, digital marketing skills, and age. The research sample data collection technique related to the recruitment of Search Engine Optimization Specialists used in this research is Literature Study. After the author succeeds in collecting research sample data, at the next stage the author analyzes the application of the Preference Selection Index method in the recruitment of Search Engine Optimization Specialists. The results of this study show that alternative A02 (0.855641604) has the highest value and gets the first ranking position. Meanwhile, the alternatives that get the second to fifth ranking positions are A05 (0,834620739), A03 (0,741086734), A04 (0,716537597), and A01 (0,708920064). So that the most recommended alternative based on the calculation of the Preference Selection Index on the recruitment of Search Engine Optimization Specialists in this study is alternative A02 (0,855641604).
Implementation of Naïve Bayes and K-NN Algorithms in Diagnosing Stunting in Children Wulan Widhari; Agung Triayudi; Ratih Titi Komala Sari
SAGA: Journal of Technology and Information System Vol. 2 No. 1 (2024): February 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v2i1.242

Abstract

Indonesia faces a huge potential risk of stunting, as revealed in the Indonesian Nutrition Status Analysis according to 2022 data, the stunting rate reached 24.22% in 514 districts / cities throughout Indonesia. To prevent stunting in children, early detection can be done. This research was conducted to compare the performance of two algorithms Naive Bayes and K-NN to predict stunting cases in children, to get a better picture of how classification algorithms predict stunting cases with a better level of accuracy and responsiveness, comparison experiments of several algorithms are needed using specific datasets to develop an optimal classification model. Based on the results of performance testing on the K-Nearest Neighbor and Naive Bayes methods in testing the performance of accuracy, precision, recall, and f1-score, the results of performance testing on the naïve bayes method obtained performance values on 30% testing data are accuracy of 71%, precision 71%, recall 76%, and f1-score 73%. The performance results of the K-NN method using the euclidean distance measurement obtained the best performance value, namely accuracy of 97%, precision of 98%, recall of 96%, f1-score of 97% at a value of k = 3. Based on the performance results of the comparison of the Naive Bayes and K-NN methods, it shows that the best classification method on the stunting dataset is the K-NN method because it gets better performance than the Naive Bayes method.
Combination of AES (Advanced Encryption Standard) and SHA256 Algorithms for Data Security in Bill Payment Applications Rais Rabtsani, Muhamad; Triayudi, Agung; Soepriyono, Gatot
SAGA: Journal of Technology and Information System Vol. 2 No. 1 (2024): February 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v2i1.250

Abstract

In the era of information technology development, digital payments and e-payments are becoming a dominant trend, supported by the crucial role of payment gateways such as Midtrans. Midtrans uses APIs to facilitate various online transactions, including debit cards. In this research, two cryptographic algorithms will be combined, namely Advance Encryption Standard (AES) with 256 bits and Secure Hash Algorithm (SHA) with 256 bits. The importance of data security in e-payments is recognized, with the application of cryptographic algorithms to protect sensitive transaction information. Yayasan Antero Prosesi Edukasi (YAPE) as an educational marketing consultant faced the challenge of time-consuming and inefficient manual payments. In an effort towards efficiency and security, YAPE plans to develop an online payment application with Midtrans Payment Gateway and the use of AES-256 and SHA-256 cryptographic algorithms. This step is expected to help the foundation keep up with technological developments, provide ease of payment, and achieve computerized efficiency. The results showed that the use of a combination of AES 256 bit and SHA256 encryption significantly increased security, making hacking attempts ineffective because encrypted data could not be accessed, with quite complicated calculation stages.
Inventory Management System for MSMEs Setiawan, Aan; Triayudi, Agung; Agus Iskandar
SAGA: Journal of Technology and Information System Vol. 2 No. 1 (2024): February 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v2i1.251

Abstract

This inquire about points to create a web-based stock framework that centers on reasonableness, user-friendliness, and usefulness custom-made to desires of Miniaturized scale, Little, and Medium Ventures (MSMEs). Through in-depth analysis of MSMEs' specific inventory management requirements, the system not only provides a comprehensive solution for stock management but also integrates the Apriori algorithm for associative analysis of inventory data. The system's development adopts an Agile approach, allowing flexible adaptation to changing needs throughout the development process. Key features include efficient stock management, intuitive Point of Sales (POS) transaction recording, and customizable inventory reporting. The implementation of this system is expected to enhance MSMEs' efficiency in inventory management, provide insightful data to support more informed decision-making, and positively contribute to strengthening competitiveness and growth in the dynamic and competitive business environment.
Implementation of K-Nearest Neighbour (KNN) Algorithm and Random Forest Algorithm in Identifying Diabetes Diranisha, Virly; Agung Triayudi; Ratih Titi Komalasari
SAGA: Journal of Technology and Information System Vol. 2 No. 2 (2024): May 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v2i2.253

Abstract

Diabetes, one of the noncommunicable diseases (NCDs), is currently a major health threat worldwide. So far, diabetes symptoms have only been diagnosed by people according to known physical characteristics without the support of factual evidence or other medical considerations. With the advancement of technology, it is possible to use algorithms to solve various kinds of problems. One of artificial intelligence (AI), machine learning, concentrates on creating systems that can learn from data. This research uses the K-Nearest Neighbor (KNN) and Random Forest algorithms that can be utilised as testing algorithms to identify diabetes. Classification is done based on training data that has been provided in the dataset. The purpose of this research is to determine the best classification in identifying diabetes with the K-Nearest Neighbor (KNN) algorithm and the Random Forest algorithm and is expected to provide more understanding of the implementation of machine learning models. comparing the two algorithms between the KNN algorithm and the Random Forest algorithm. By dividing the testing data and training data using a ratio of 20%: 80% randomised data 300 times. The results of the accuracy evaluation obtained from the Confusion Matrix show that the Random Forest Algorithm has the best accuracy value of 77%, Precision 89%, Recall 78% and F1-Score 83% with an estimator of 100 trees. While the KNN algorithm obtained accuracy of 73%, Precision 87%, Recall 73% and F1-Score 79% of the value of K = 7. Based on the comparison results of the two algorithms, it shows that the accuracy value obtained is greater than the Random Forest algorithm even though the value obtained is not much different.
Application of Academic Potential Test for New Student Admission Using Fisher-Yates Shuffle Algorithm Abdul Azis; Agung Triayudi; Endah Tri Esthi Handayani
SAGA: Journal of Technology and Information System Vol. 2 No. 1 (2024): February 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v2i1.254

Abstract

The selection process of new students in educational institutions, such as in Sekolah Menengah Kejuruan (SMK) Wisata Indonesia which still uses conventional methods using paper, has several challenges. One of the main challenges is test cheating, where prospective students may try to manipulate their test results to increase their chances of being accepted. In addition, another challenge faced by SMK Wisata Indonesia is that when the number of prospective students who register is very large, managing answers and exam results can become more complicated. This research aims to design and build an Android-based Academic Potential Test application by applying the Fisher-Yates Shuffle algorithm to randomize the order of questions. This research also uses the RUP (rational Unified Process) system development technique which has several phases, namely the Inception phase, Elaboration phase, Construction phase and Transition phase. The validation testing carried out obtained overall valid results so that the application that has been designed is in accordance with user needs. Meanwhile, usability testing in the Academic Potential Test Application using the SEQ method resulted in an average Likert score for students of 6.63 with a user-friendliness percentage of around 94%. As for teachers, the Likert average score is 6.53 with a percentage of ease of use of around 93%. This shows that the Academic Potential Test Application that has been built is EASY TO USE
Adaptable Architecture for the Digital Transformation of the Cameroonian University Ecosystem: A FORM/BCS Approach Ngoumou, Amougou
SAGA: Journal of Technology and Information System Vol. 2 No. 2 (2024): May 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v2i2.293

Abstract

The university education ecosystem in most developing countries where demographics are evolving exponentially, faces the problem of the massification of education with its corollaries in terms of teacher shortages and deterioration in the quality of training, Cameroon is not left out. Faced with this situation, most stakeholders agree that the digital transformation of the ecosystem makes it possible to tackle this problem. Several solutions are proposed, ranging from the digitization of training materials downloadable by learners to the implementation of hybrid training combining the face-to-face model with distance training in direct streaming, including models “semi-face-to-face single-teacher multi-room synchronous” training courses, thus qualified because it would consist of exploiting ICT to allow the same teacher to be, through dedicated screens, simultaneously followed in several classrooms by learners with the possibility for the latter to communicate in real time with him thanks to judiciously positioned cameras. However, whatever the formula adopted, problems persist such as time which is not always sufficient, the shortage of teachers and insufficient infrastructure. Thus, this article, through the analysis of the proposed solutions and the use of the software product line engineering paradigm, proposes a formula and adaptable reference architecture for a computer system making it possible to deal with the problem of massification of teaching
Anticipation of Deep Discharge of Batteries in Solar Panels Based on the Particle Swarm Optimization (PSO)Algorithm Anggara Trisna Nugraha; Purwidi Asri; Hendro Agus Widodo; Joesianto Eko Poetro; Mohammad Abu Jamiin; Urip Mudjiono; Isa Rachman; Mohammad Basuki Rahmat; Muhammad Naufal Maulana; Muhammad Fikri Fathurrohman; Raimundus Risa Arnestanta; Ivan Azwar Septiadi; Rama Arya Sobhita
SAGA: Journal of Technology and Information System Vol. 2 No. 2 (2024): May 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v2i2.304

Abstract

Renewable energy is an alternative type of energy that can be used continuously without fear of environmental pollution. One of the things that can be used to get new renewable energy is using solar panels where later the electrical energy produced will be stored in batteries. A part from the advantages of a battery that can store electrical energy, but if it is used excessively and causes the battery to experience a deep discharge condition, steps are needed to over come it.This study uses the Particle Swarm Optimization method as an auxiliary method. And in this research it has been found that the auto switch system can charge battery 1 and battery 2 when the voltage level is below 11.88V or the DoD is already at 55% and stops charging when the voltage level is above 12.86Vfor battery 1and batteries 2.

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