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Dedy Yusman
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INDONESIA
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen
Published by STMIK Palangka Raya
ISSN : 20881770     EISSN : 25033247     DOI : 10.33020
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Jurnal Saintekom adalah singkatan dari Sains, Teknologi, Komputer dan Manajemen, merupakan jurnal ilmiah yang berfungsi sebagai media mengkomunikasikan ide, gagasan dan pemikiran seputar kajian aktual tentang sains, teknologi, komputer dan manajemen antarkademisi dan peneliti.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 161 Documents
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Pengembangan Media Pembelajaran Tanaman Obat Tradisional Menggunakan Metode Multimedia Development Life Cycle Muhammad Fauzan Yasykur; Neo Mauizan Ali Fitrah; Nanda Ega Wijaya Saputra
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 14 No 1 (2024): Maret 2024
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v14i1.600

Abstract

Maintaining health is a crucial aspect of human life, and one traditional method to boost the immune system is through the use of medicinal plants. The practice of using medicinal plants has been passed down through generations, but in the present era, there is a decline in interest, particularly among the younger generation due to a lack of knowledge about the benefits of medicinal plants. This research aims to develop an interactive learning media introducing traditional medicinal plants, named "Herba Wisdom," as a solution to educate the younger generation on harnessing the benefits of medicinal plants. In an effort to create innovative learning media, this study will implement the Multimedia Development Life Cycle (MDLC) method. MDLC serves as a structured framework in the development of learning media, ensuring quality and consistency throughout the development process. The development will be carried out using Construct 2, a practical, fast, and efficient platform for creating interactive multimedia. The research employs black-box testing to assess program functionality, resulting in a program that operates effectively and provides a high level of user satisfaction.
Perancangan User Interface dan User Experience Aplikasi Klinik Gigi Menggunakan Metode Design Thinking Putri Salsabila, Dhea; Pradini, Risqy Siwi; Khudori, Ahsanun Naseh
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 14 No 1 (2024): Maret 2024
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v14i1.601

Abstract

Klinik Gigi drg. Ema Medika so far still provides services to patients manually and keeps medical records using paper documents. This causes data invalidity and sometimes the confidentiality of patient data cannot be maintained properly. To increase efficiency, this research designed an application Prototype for Klinik Gigi drg. Ema Medika. The Design Thinking method is used as an approach in Prototype development, which consists of the stages of knowing user problems and needs, identifying user problems, determining solution ideas, creating a Prototype, and conducting testing. Through the designed Prototype, users can interact with the user interface and experience the user experience. Testing was carried out using User Acceptance Testing (UAT) and produced a value of 97.37. Thus, it can be concluded that the Prototype design of the Klinik Gigi drg. Ema Medika application can meet user needs very well. The expectation is that the outcomes of this study can play a role in the adoption of information technology solutions that are both effective and efficient within the dental clinic setting, leading to an enhancement in the level of service provided to patients.
Pengukuran Kematangan Keamanan Siber pada Perusahaan Teknologi Informasi dengan Framework Center for Internet Security Controls Jauhari, Mohammad Afdhal; Wardijono, Bheta Agus; Hegarini, Ega
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 14 No 1 (2024): Maret 2024
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v14i1.610

Abstract

This research evaluates the cybersecurity maturity of a technology information company in Jakarta, using the CIS Controls framework that encompasses all controls within Implementation Group 1 (IG1). The company has not conducted formal measurements regarding cybersecurity maturity, leading to uncertainty about the effectiveness of security efforts. The aim of this study is to measure, assess, and provide recommendations to enhance cybersecurity within the company. The research methodology involves an assessment of CIS Controls implementation and maturity level measurements. The measurement results indicate a low level of maturity, with an overall score of 0.41. The company needs to make significant improvement efforts in the cybersecurity aspect. Recommendations derived from this analysis emphasize the need for policy enhancements, control improvements, and increased employee training, serving as a guide for the company to strengthen weak cybersecurity aspects. The company should adopt a sustainable approach with management commitment and active engagement of all stakeholders.
Evaluasi Keamanan Teknologi Informasi Menggunakan Indeks Keamanan Informasi 5.0 dan ISO/EIC 27001:2022 Jelita, Lucia Devlina Adventia; Al Azam, Moh Noor; Nugroho, Aryo
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 14 No 1 (2024): Maret 2024
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v14i1.623

Abstract

In the era of digital transformation, data has become something valuable but vulnerable to leaks. According to Lanskap Keamanan SIber Indonesia 2022, there were 311 data leakage incidents that occurred in Indonesia. Many tools can be used to evaluate information security, one of which is the Information Security Index (ISI). KAMI is a tool to assess the level of information security readiness of an organization based on the SNI ISO / IEC 27001 standard. PT Kano Teknologi Utama is a company that uses information technology in its daily operations. Therefore, researchers conducted an information technology security evaluation to determine the condition of information security and can evaluate it so that security becomes better. The evaluation is carried out by conducting observations and interviews at the company. The data that has been obtained will then be assessed according to OUR Index. Based on the results of the Our Index assessment, the electronic system category score obtained is 19 and is included in the high category. While the final evaluation result is "Good Enough" with a final score of 674 and the level of completeness of implementation based on the ISO 27001 standard is at levels II to IV.
Klasifikasi Predikat Kelulusan Mahasiswa Menggunakan Algoritma C4.5 Fitriyanti, Vina; Testiana, Gusmelia; Eri Gunawan, Catur
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 14 No 2 (2024): September 2024
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v14i2.626

Abstract

Determination of student graduation predicate based on GPA and additional requirements of timely study period for honors predicate. Currently, there is no in-depth classification to identify graduation predicate, so understanding of the patterns that influence the results is still limited. Accumulation of student graduation data can be used to find new information. This study aims to produce a decision tree classification model using the C4.5 algorithm and evaluate its accuracy in classifying student graduation predicates at UIN Raden Fatah Palembang. The data division technique used is k-fold cross validation to divide the data into training and testing data. The k value used is k = 3 in the first data test, this is based on previous tests with several k values, where k = 3 produces higher accuracy than the others. The rules formed are 242 and the attribute that influences student graduation predicate is GPA. The accuracy of the application of the C4.5 algorithm in classifying student graduation predicates is 83.31% which is included in the Good Classification category.
Implementasi Deteksi Objek Real-Time Sebagai Media Edukasi dengan Algoritma YOLOv8 pada Objek Sampah Ramdan, Adam; Asriyanik, Asriyanik
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 14 No 2 (2024): September 2024
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v14i2.638

Abstract

Waste is one of the complex global issues and is one of the points of the SDGs indicators related to municipal waste, food waste, hazardous waste and recycling systems that cannot be resolved. According to data from SIPSN in 2022, waste generation in Indonesia will reach 35,289,535.55 tons/year while about 47.32% of waste handling is done, which is 16,697,790.76 tons/year. The National Research and Innovation Agency said that currently there are still few Indonesians who have the awareness to start sorting waste from their own homes. As many as 80% of Indonesians do not sort their waste. To overcome these problems, everyone needs to make changes early on by making waste management a habit so as to change people's skeptical attitude towards waste management. Thus, research was conducted to identify the type of waste using the YOLOv8 algorithm, with a dataset of 17,617 data which was then analyzed by creating a yolov8 model. The best accuracy results were obtained by using the yolov8l variant as well as 16 batch sizes and the SGD optimizer with a learning rate value of 0.001 as a parameter. The model training process was then evaluated using confusion matrix with a percentage reaching 86.5%.
Kerangka Kerja Inovasi Digital untuk Organisasi Skala Kecil: Integrasi Teori dan Praktik Marcel, Marcel; Pratama, Dimas W.; Aotearoa, Garpepi H.
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 14 No 2 (2024): September 2024
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v14i2.641

Abstract

This research proposes a framework designed to support digital innovation in small-scale organizations often constrained by limited resources and knowledge. This framework is built based on theoretical knowledge, which comes from literature reviews, and practical knowledge, which comes from focus group discussions involving several experts. The framework includes nine key processes: Leadership Commitment and Support; Culture of Innovation and Risk Tolerance; Cross-Functional Collaboration and Diversity; Agile and Flexible Process; Integration and Utilization of Digital Technology; Knowledge Sharing and Continuous Learning; Allocation of Resources for Innovation; External Engagement and Open Innovation; Performance Evaluation and Feedback. These processes were developed to be interrelated and form a comprehensive approach to fostering an innovative environment. In addition, this framework also integrates the ADKAR, a change management model, to facilitate the practical application of this framework in organizations. The existence of limited resources and knowledge in small-scale organizations demands particular strategies in adopting the framework, including more strategic resource allocation, intensive training for skill development, and collaboration with external institutions to support technology and innovation needs.
Evaluasi Heuristik E-Learning Institut Agama Hindu Negeri Tampung Penyang Palangka Raya Purnawati, Ni Wayan; Alit Arsana, I Nyoman; Janardana Febrian Agus, I Putu
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 14 No 2 (2024): September 2024
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v14i2.648

Abstract

Institute of Hindu Religion (IAHN) Tampung Penyang Palangka Raya has e-learning in an e-campus with complex features. Many e-learning features become ineffective, and make users unable to maximize their use. Therefore, a heuristic evaluation approach from Nielsen's is needed to find out the extent of usability in the e-learning. The heuristic evaluation method is a method used to find usability problems of a product using 10 heuristic evaluation principles. In this research, the assessment was carried out by 4 expert usability evaluators. The calculation of usability heuristic evaluation using severity ratings scale has been done. The results of the assessment based on heuristic evaluation on the IAHN-TP Palangka Raya e-campus application resulted in 24 problem findings. The highest value of the average severity rating (SR) is on the principle of error prevention and as much as 92% of the largest percentage is on the principle of visibility of system status. This research also provides recommendations for design improvements ranging from adding functions, changing appearance, and layout according to the results of the heuristic evaluation. These recommendations can be used as a consideration for the IAHN-TP campus management in improving the application.
Klasifikasi Kualitas dan Kematangan Pisang Cavendish Menggunakan Convolutional Neural Network Hastungkoro, Arya Widya; Putro Wicaksono, Aditya Dwi; Diah Rosita, Yesy
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 14 No 2 (2024): September 2024
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v14i2.686

Abstract

This research aims to develop a classification model using Convolutional Neural Networks (CNN) to determine the ripeness and quality of Cavendish bananas. The model classifies bananas into four categories: good quality unripe (MHBS), poor quality unripe (MHBK), good quality ripe (MGBS), and poor quality ripe (MGBK), using a total of 1,000 images. In this study, the classification process of the ripeness and quality of Cavendish bananas was carried out based on automatic feature extraction using CNN,after which an evaluation was carried out using a confusion matrix to assess model performance. The research developed 36 models with variations in parameters such as the number of epochs, batch size, and dataset split. The analysis results indicate that the number of epochs significantly affects the model's accuracy, with an increase in the number of epochs leading to higher accuracy. However, the dataset split scenario and batch size do not have a significant impact on the model's overall accuracy. Evaluation shows that the highest accuracy of 95% was achieved by the model with a 90:10 dataset split, a batch size of 16, and 20 epochs.
Penggunaan Decision Tree dalam Penentuan Faktor yang Mempengaruhi Status Gizi Buruk Balita di Kelurahan Tamamaung Permata Hati, Tithania Indah; Rahman, Rahman; Rizaldy, Adhy
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 14 No 2 (2024): September 2024
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v14i2.737

Abstract

This study aims to evaluate the use of Decision Tree algorithms in determining the nutritional status of children based on Posyandu activity reports. Malnutrition poses serious risks for developing children, including weakened immune systems, long-term developmental delays, and high mortality rates. By applying the Decision Tree algorithm to classify the nutritional status of toddlers, this research seeks to identify nutritional status, which can then be addressed by health centers (Puskesmas). Using attributes such as weight (W), age (A), and height (H), aligned with child anthropometric indices, the Decision Tree method will be utilized to determine the factors influencing nutritional status in toddlers. The application of this method will facilitate the identification of at-risk toddlers, enabling timely prevention and intervention. Testing through k-fold cross-validation yielded an accuracy of 79.43%, a recall of 53.1%, and a precision of 76.6%. The results indicate that, out of 350 data points, the most significant factor affecting children's nutritional status is weight.

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