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Implementasi Metode SMART Untuk Penentuan Platform Pembelajaran Jarak Jauh Masa Pandemi Rajiansyah, Rajiansyah; Fajri, Ahmad
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3317

Abstract

The pandemic period is difficult times for all nations and countries around the world because the pandemic period is a period that limits many activities carried out as usual due to an outbreak of the Covid-19 virus as the most contagious and quite deadly virus, including in learning activities for an educational institution for the sake of education. break the rope of the spread of a larger virus so that a platform is used that helps in carrying out the teaching and learning process, the many types of platforms currently available make it difficult to determine the most appropriate platform for its use based on several criteria such as usability, affordability, maintability, accessibility and compatibility. the selection using a decision support system to facilitate the decision-making process appropriately, the process of using a decision support system using the SMART (Simple Multi Attribute Rating Technique) method, the results obtained are ah A2 with a value of 0.92
Sistem Pendukung Keputusan Menentukan Kualitas Kinerja Dosen Selama Kuliah Online Menggunakan Promethee II Ita Arfyanti; Rajiansyah Rajiansyah
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 2 (2021): April 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i2.2942

Abstract

Lecturer performance is a quality of self that is given entirely to fulfill the responsibilities of a teacher in a tertiary institution, towards students or students in fulfilling student rights, the importance of knowing that the quality of lecturer performance will affect the level of student learning desire, especially during the Covid-19 pandemic, lecturer performance considered capable of improving the learning process that must be done online, online learning often results in a lack of communication between lecturers and students. Accumulation was carried out on a decision support system to see each of the lecturers 'performance qualities at STMIK Widya Cipta Dharma during online lectures using the Promethee II method, the results displayed were the highest score of "4.208625" indicating a high percentage of achievement of lecturers' performance previously had calculations are carried out based on predetermined criteria, namely lecturer discipline, teaching time, material presentation, academic position, suitability of teaching using the syllabus
IT GOVERNANCE OF SENAYAN LIBRARY MANAGEMENT SYSTEM (SLIMS) LIBRARY AND ARCHIVES DEPARTMENT OF EAST KALIMANTAN PROVINCE USING COBIT 5.0 Ita Arfyanti; Nursobah Nursobah; Rajiansyah Rajiansyah
Jurnal Ilmiah Matrik Vol 23 No 2 (2021): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/jurnalmatrik.v23i2.1429

Abstract

The existence of an information system in the Library and Archives Department of East Kalimantan needs to be properly maintained and supervised so that the organizational system is in line with the agency's goals. One way to ensure this is to conduct an information system performance analysis. This study uses the Control Objective for Information and related Technology (COBIT) version 5.0, which is a best practice that provides activities managed by the IT organizational structure within a framework in the form of a product, to focus on execution and control that has been made from experts from the field of technology governance Information. This practice can maximize IT investment, to assess if there are errors in providing measurements made and delivering services. Therefore, in order to achieve the target, this research was carried out using the COBIT 5.0 framework in order to be able to analyze an information system performance at the Library and Archives Department of East Kalimantan. The results of this study indicate that MEA01 is at level 5 (Optimizing Process), MEA02 is at level 3 (Established Process), MEA03 is at level 2 (Managed Process). In this case the Regional Library and Archives Office of East Kalimantan to be more efficient in the use of IT requires handling of the factors that influence it so that it is maximal, the use of IT for all employees in the operation of the Senayan Library Management System (SLiMS) and also the person in charge of IT to keep pace with developments technology.
Penerapan Metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) Dalam Penentuan Media Promosi Terbaik Rajiansyah, Rajiansyah; Rizawanti, Riftika
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.6079

Abstract

The development of increasingly sophisticated technology provides a function which assists salespeople in promoting a product using technology. With the existence of technology, a seller can use this technology as a media tool for the promotion of the products they are marketing or selling. Promotional media is a way that is used by entrepreneurs in conveying, spreading, and offering the products or services they sell so that consumers are interested in buying. In helping carry out promotional media, it is necessary to have social media, where social media is useful or one of the tools used to promote goods or services to consumers. However, as an entrepreneur the selection of a promotional media tool can be a consideration for an entrepreneur. And in solving a problem researchers really need criteria including Location, Fisheries, Cost and Target Market. So with that researchers really need tools in making decisions using methods that can produce values ​​that are in accordance with the expectations of the authors. The tool is SPK and the method used is TOPSIS. So from this it can be concluded that the best promotional media falls on alternative A3 on behalf of Facebook with the first rank with the highest score of 0.953
Classification of High Risk of Obesity in Women using Decision Tree Methods Rizawanti, Riftika; Rajiansyah, Rajiansyah
Building of Informatics, Technology and Science (BITS) Vol 7 No 1 (2025): June (2025)
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i1.7518

Abstract

Excessive body fat accumulation characterizes obesity, a medical condition primarily caused by an energy imbalance. This excess fat is stored throughout the body, including the abdomen, thighs, and arms. Obesity is a global health concern, prevalent in Indonesia, impacting physical, psychological and social well-being. Women are more susceptible to obesity due to a combination of biological and lifestyle factors. A community health center study of 156 patients revealed that 71.20% exhibited central obesity, with women comprising 76.60% of this group and men 31.6%. This study focuses on the disproportionate impact of obesity on women. To better understand and address obesity, classification is crucial. This study uses a Decision Tree method to classify 898 women based on 14 assessments for high obesity risk, comparing its performance using three attribute selection criteria. The Decision Tree (Gini Index) model achieved 77.22% overall accuracy (Figure 12). The Normal category has 83% precision and 88.30% recall. The Overweight category had 62.50% precision and 63.83% recall. The Obese category had 75% precision and 66.67% recall. The Underweight category achieved 100% precision and recall. While the model demonstrates good classification performance, particularly for Normal and Underweight categories, it requires further refinement to better differentiate between Overweight and Obese individuals.
Analisis Tren Indikator Pendidikan dan Pengeluaran per-Kapita Kalimantan Timur 2020-2025 Rahmatullah, Muhammad Nabil; Pangestu, Jovan Bagas; Mayasha, Alya; Natasya, Aulia; Sofwani, Sifwah Fatin; Fachrodhiya, Muhammad Riva; Rajiansyah, Rajiansyah; Agus, Fahrul
Buletin Ekonomika Pembangunan Vol 7, No 1 (2026): FEBRUARY
Publisher : Jurusan Ilmu Ekonomi Fakultas Ekonomi Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/bep.v7i1.32922

Abstract

Human development and economic welfare are the two main pillars in the progress of a region. This study aims to analyze trends in education indicators, including Expected Length of School (HLS) and Average School Length (RLS), as well as their relationship with Per Capita Expenditure in East Kalimantan Province for the period 2020-2025. This topic was raised because there is a consistent gap between expectations and realization of education that can affect economic productivity. The novelty of this study lies in the use of recent time-series data covering the post-2020 recovery period, providing strong  evidence for policymakers. This research method uses a quantitative descriptive approach and simple linear regression analysis with data sources from the Central Statistics Agency (BPS) of East Kalimantan. The results of the study showed a significant positive trend, where RLS grew by 3.38% and Per Capita Expenditure grew by 21.54% during the observation period. The main findings show a very strong correlation (r=0.989) between education and the economy, where the regression model estimates that every 1-year increase in average school length is associated with an increase in per capita expenditure of Rp7.94 million. In conclusion, the acceleration of education realization has direct implications for increasing people's purchasing power. Therefore, the strategy of accelerating compulsory learning is crucial to boost the regional economy. Keywords: Education Indicators; Development Economics; Human Capital;      Expenditure per Capita; East Kalimantan 
The Effect of Expected Years of Schooling and Adjusted Expenditure per Capita on Life Expectancy in East Kalimantan Province (2022- 2024) Rifa'i, Muhammad Dzaki; Togatorop, Santoso Parlindungan; Fahmi, Muhammad Ilma Yusrian; Ramadhani, Inayah; Hasan, Andi Nurfadillah; Rajiansyah, Rajiansyah; Agus, Fahrul
Buletin Ekonomika Pembangunan Vol 7, No 1 (2026): FEBRUARY
Publisher : Jurusan Ilmu Ekonomi Fakultas Ekonomi Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/bep.v7i1.32952

Abstract

This study examines the impact of Expected Years of Schooling (EYS) and Adjusted Expenditure per Capita (AEPC) on Life Expectancy (LE) in 10 regencies and cities in East Kalimantan Province during 2022–2024 (BPS East Kalimantan Province, 2024). This topic is relevant because East Kalimantan exhibits strong economic performance yet continues to face disparities in human development across regions. At the same time, empirical studies that directly link education and household purchasing power to life expectancy at the district and municipal level in this province remain limited (Susanti Hidayat, 2020; Williyan Hasmarini, 2024). The novelty of this study lies in the use of recent panel data for 10 regencies and cities that simultaneously incorporate AEPC and EYS as determinants of LE, thereby providing more context-specific empirical evidence for East Kalimantan (Hasanah et al., 2021; Swastika Arifin, 2023). The study employs secondary data sourced from BPS East Kalimantan Province, comprising EYS, AEPC, and LE for 2022–2024, which are analysed using panel data regression, specifically the Common Effect Model (CEM). The model's validity is assessed using statistical tests, namely the t-test, the F-test, and the coefficient of determination (Statistics Indonesia, 2024; BPS East Kalimantan Province, 2024). The estimation results indicate a positive and statistically significant relationship between EYS and AEPC, and an increase in LE, while these two variables jointly explain approximately 71–73% of the variation in LE across regencies and cities (Hasanah et al., 2021; Meilinna et al., 2024). These findings suggest that expanding access to and improving the quality of education, alongside strengthening household economic capacity, are crucial prerequisites for improving health status and overall quality of life in East Kalimantan (Sari Syechalad, 2022; Swastika Arifin, 2023). Keywords: Life Expectancy (LE), Expected Years of Schooling (EYS), Adjusted                   Expenditure per Capita (AEPC), Panel data, Multiple linear regression. 
Alphabet Gesture Classification of Indonesian Sign Language Using Convolutional Neural Networks Gideon Simalango, Yanuar; Septiarini, Anindita; Wati, Masna; Hamdani, Hamdani; Rajiansyah, Rajiansyah
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 1 (2026): JUTIF Volume 7, Number 1, February 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.1.5240

Abstract

Indonesian Sign Language (BISINDO) serves as a communication medium for deaf individuals to engage with their environment. Alphabet gestures in BISINDO play a crucial role in the formation of words and sentences. Nonetheless, the automatic recognition of BISINDO alphabet movements remains a difficulty in the advancement of accessible technology. This research intends to categorize BISINDO alphabet gestures via the Convolutional Neural Network (CNN) model. The CNN approach was used due to its proficiency in recognizing visual patterns and images. The dataset comprises BISINDO alphabet gesture photos captured from diverse perspectives and lighting conditions. The data processing procedure encompasses pre-processing phases, including picture normalization, data augmentation, and the segmentation of the dataset into training, validation, and test subsets. The constructed CNN model has multiple convolutional and pooling layers to thoroughly extract visual characteristics. The study's results indicate that the CNN model can classify BISINDO alphabet gestures with a high accuracy of 90% on the test data. This model's deployment is anticipated to aid in the creation of automatic sign language translation programs, hence enhancing communication between the deaf community and the general populace. This study demonstrates the potential of CNN models to support the development of inclusive communication technologies for the hearing impaired in Indonesia, particularly for under-researched sign languages like BISINDO.