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All Journal Jurnal Simantec Jurnal Ilmiah Kursor TEKMAPRO Journal of Industrial Engineering and Management Scan : Jurnal Teknologi Informasi dan Komunikasi International Journal of Advances in Intelligent Informatics International Journal of Artificial Intelligence Research Teknika: Engineering and Sains Journal JIEET (Journal of Information Engineering and Educational Technology) IJEBD (International Journal Of Entrepreneurship And Business Development) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Penelitian SEINASI-KESI Journal of Information Systems and Informatics Journal of Robotics and Control (JRC) JATI (Jurnal Mahasiswa Teknik Informatika) e-NARODROID Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Nusantara Science and Technology Proceedings Journal of Applied Data Sciences International Journal of Data Science, Engineering, and Analytics (IJDASEA) ITIJ Jurnal ilmiah teknologi informasi Asia Jurnal Pengabdian Masyarakat SENSASI Lontar Komputer: Jurnal Ilmiah Teknologi Informasi
I Gede Susrama Mas Diyasa
Department Of Informatics, Faculty Of Computer Science, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Social Sciences Transportation

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Implementation of Innovation in Integrated Evaluation and Learning System using Outcome-Based Education Ecosystem I Gede Susrama Mas Diyasa; I Nyoman Dita Pahang Putra; Ni Made Ika Marini Mandenni; Mohammad Rafka Mahendra A; Rangga Laksana A
IJEBD (International Journal of Entrepreneurship and Business Development) Vol 6 No 1 (2023): January 2023
Publisher : LPPM of NAROTAMA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29138/ijebd.v6i1.2079

Abstract

Purpose: Outcome-Based Education is a learning method that focuses on the output which is learning achievements. Identification and determination of the achievements is a critical point for OBE due to the methods which will affect the learning and assessment planning. The main reason for this research is to give an innovation on this system which will be implemented. Design/methodology/approach: The implementation is done by integrating three processes; curriculum design, assessment, and learning methods. Findings: OBE utilizes knowledge aspects, skills, and attitudes based on the situation of the social, economic, and academic culture. This system also synergizes four types of users Admin, Curriculum Team, Lecturer, and Students. By adopting the methods and outcome-based learning, the system achieved simplicity for the users and improved the student's knowledge of its subjects. Paper type: Research paper
Soar Analysis on Marketing Strategy Integrated Online Smart Parking System I Gede Susrama Mas Diyasa; Sugeng Purwanto; Wahyu S.J. Saputra; Slamet Winardi
IJEBD (International Journal of Entrepreneurship and Business Development) Vol 6 No 1 (2023): January 2023
Publisher : LPPM of NAROTAMA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29138/ijebd.v6i1.2134

Abstract

Purpose: This research was conducted in transportation service industry of PT. Wastu Kencana in collaboration with UPN Veteran East Java through the Matching Fund program by Building an Integrated Online Smart Parking System (IOS-Park) Management Startup in 2022. Thus, this study needs to examine applying SOAR analysis to marketing strategies in this case study. Design/methodology/approach: The analysis method used in this study is a descriptive method with a qualitative approach, the data used is information about marketing strategies by interviews and observation Findings: The results showed that the management of this IOS Parking System start-up has many positive potentials that become strengths and business opportunities from internal and external. Practical implications: The results of this study are expected to be input and reference for the company in setting a selling strategy in the next sales period. Originality/value: This paper is original Paper type: a Research Paper
Integrated Evaluation and Learning System with OBE Ecosystem and “MBKM” I Gede Susrama Mas Diyasa; I Nyoman Dita Pahang Putra; Ni Made Ika Marini Mandenni; Mohammad Rafka Mahendra Ariefwan; Rangga Laksana Aryananda
Nusantara Science and Technology Proceedings 7st International Seminar of Research Month 2022
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.3381

Abstract

Outcome-Based Education (OBE) is an outcome-based or achievement-based learning system. The system emphasizes the achievements of student learning that must be identified first (for example, students must have the attainment of knowledge about something that must be mastered or students must have skills that must be achieved, for example, having to know knowledge about websites and having to be able to make webs) which can then be used as a basis for determining the future, planning what learning methods are, and assessments (assignments, quizzes, presentations, tests, etc.) adjusted to these outputs (results of statistical analysis of previous results/outcomes). In contrast to traditional learning, the major attention is on the teaching and learning process that adapts to the material in the syllabus. In addition, the assessment in conventional learning uses the knowledge that must be achieved, while the OBE assessment process uses a predetermined outcome level. The outcome to be determined and achieved is determined based on the stakeholder (alumni, graduate, company/workplace, or someone who has an interest and is bound by the study program or course that adapts to the needs of the company or workplace), if traditional learning only uses the syllabus or material that has been determined which is relatively the same every year.
Wireframe Creation on SIOBEL Application User Interface Design using User Centered Design Wibawani, Sri; Terza Damaliana, Aviolla; Setiawan, Ariyono; Mas Diyasa, I Gede Susrama; Dwi Kusuma, Irma
Information Technology International Journal Vol. 1 No. 2 (2023): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/itij.v1i2.12

Abstract

The development of an interactive SIOBEL (Sistem Informasi Bela Neagara) application requires the application of User Centered Design in the UI/UX design phase. In this context, User Centered Design becomes an important cornerstone in ensuring an optimal user experience and meeting the needs of users when using the SIOBEL application as a platform to integrate state defense values with oubound. By applying UCD, the UI/UX wireframe design of the SIOBEL application can create a better and satisfying user experience. Users will feel engaged and comfortable when using the application.
Long Short Term Memory Method and Social Media Sentiment Analysis for Stock Price Prediction Mas Diyasa, I Gede Susrama; Mustika, Agung; Amanullah , Nurkholis
Information Technology International Journal Vol. 2 No. 1 (2024): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/itij.v2i1.13

Abstract

The stock market is a complex arena of interest yet uncertainty. Trading stocks, binaries, gold, and bitcoin is growing in popularity, but is prone to price fluctuations influenced by economic and political factors. Social media, particularly Twitter, is where views on companies are shared. Social media sentiment analysis can provide additional insights to evaluate potential future stock price movements, preventing unwanted speculation. The purpose of this research is to develop a Tesla stock price prediction model by integrating the Long Short-Term Memory (LSTM) method and social media sentiment analysis from Twitter to improve prediction accuracy. Stock price data is obtained from Kaggle and Twitter sentiment data is processed through pre-processing. Evaluation values such as Mean Squared Error (MSE) and Root Mean Squared Error (RMSE) are lower in the model with sentiment indicating the ability of the model to more accurately model the dynamics of stock price movements. Lower MSE and RMSE indicate that the model's predictions are closer to the true values, and therefore, the model can be considered more reliable in projecting future stock price changes. These results provide support for the use of Twitter sentiment analysis as a useful source of additional information in improving the prediction accuracy of LSTM regression models in the context of stock market analysis
Analyzing the Relationship Between Meteorological Parameters and Electric Energy Consumption Using Support Vector Machine and Cooling Degree Days Algorithm Azizah, Nabila Wafiqotul; Puspaningrum, Eva Yulia; Mas Diyasa, I Gede Susrama Susrama
Journal of Information System and Informatics Vol 6 No 2 (2024): June
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i2.719

Abstract

Nowadays, electricity is increasing rapidly. This increase is caused by several factors, one of which is meteorological factors. Meteorological parameters have various types, but this research uses three types in the form of temperature, humidity, and wind speed. The selection of these three types is due to the fact that they have a very close relationship with human life. In line with that, this research uses datasets obtained from the official websites of BMKG (Meteorology, Climatology and Geophysics Agency) and PLN (State Electricity Company). On this occasion, researchers used several methods, namely Cross-Industry Standard Process for Data Mining (CRISP-DM), Cooling Degree Days (CDD), and Support Vector Machine (SVM). The CRISP-DM method is useful for describing the data mining cycle so that the process can be more organized. The SVM algorithm is useful for predicting electricity consumption based on meteorological parameters in January to April 2024, while the CDD method is useful for knowing the correlation of meteorological parameters to electricity consumption in winter. In line with this, this research produces predictions of electricity consumption based on meteorological parameters in January 2024 to April 2024 with an average range of 20.9 Watts per day. In addition, trends and predictions during model evaluation obtained a precision value of 0.796, recall of 0.793, F1 score of 0.793, MAPE of 17.2%, RMSE of 0.41, MAE of 0.167 and accurate of 0.98. These values indicate that the performance of the accuracy model is very high.
ANALISIS HUBUNGAN ANTARA PARAMETER METEOROLOGI DAN KONSUMSI ENERGI LISTRIK MENGGUNAKAN ALGORITMA HDD Wafiqotul Azizah, Nabila; Yulia Puspaningrum, Eva; Mas Diyasa, I Gede Susrama
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 3 (2024): JATI Vol. 8 No. 3
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v8i3.9749

Abstract

Listrik menjadi satu diantara elemen yang bersifat krusial dalam kehidupan, mengingat sebagian besar aktivitas manusia bergantung kepada listrik. Sehingga tidak heran, apabila listrik mengalami peningkatan yang pesat khususnya pada era globalisasi seperti saat ini. Peningkatan ini juga dipengaruhi oleh faktor meteorologi. Beberapa penelitian telah dilakukan untuk mengetahui kecenderungan penggunaan listrik yang dipengaruhi oleh parameter meteorologi. Penelitian ini bertujuan untuk mengetahui pemakaian listrik pada kehidupan sehari-hari yang dipengaruhi oleh faktor meteorologi. Pemilihan faktor ini disebabkan faktor meteorologi menjadi faktor yang mempunyai keterikatan yang sangat erat dengan kehidupan manusia. Sejalan dengan hal tersebut, penelitian ini menggunakan dataset yang diperoleh dari BMKG dan PLN. Pada kesempatan kali ini, peneliti menggunakan CRISP-DM dan algoritma HDD. Metode CRISP-DM berguna untuk menggambarkan siklus data mining sehingga prosesnya bisa lebih teratur, sedangkan metode HDD berguna untuk mengetahui korelasi parameter meteorologi terhadap konsumsi listrik pada musim kemarau. Sejalan dengan itu, penelitian ini menghasilkan proyeksi konsumsi listrik selama periode 2023-2030 dengan menggunakan algoritma HDD, serta menghasilkan prediksi konsumsi listrik pada bulan Desember 2023. Prediksi tersebut menghasilkan nilai MAPE sebesar 1,3%, nilai tersebut menyatakan bahwa akurasi dari hasil relative tinggi
Application Development of Building Maintenance Periodization on Surabaya City Government Property I Nyoman Dita Pahang Putra; Erma Suryani; Mudjahidin; Bambang Trigunarsyah; I Gede Susrama Mas Diyasa
Nusantara Science and Technology Proceedings 8th International Seminar of Research Month 2023
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2024.4136

Abstract

Building maintenance is a very important activity and requires regular or scheduled implementation so that financial budgeting can be prepared and scheduled better. The building maintenance application is managed at the Regional Apparatus Work Unit through the Building Maintenance Section which inputs coding, building name, Final Hand Over (FHO) time, maintenance period, components and types of work, amount, unit cost, and construction cost. Observation data was collected on one hundred schools and government buildings for 5 years. Identify the components and types of work that require maintenance through interviews with the infrastructure division of each building that is surveyed. Observations and interviews are needed as a basis for determining the components and types of work that often occur in damage to each building after FHO. After the data is inputted, to prove the actual damage conditions to the buildings being reviewed, verification is required by the infrastructure division in each building. Verification consists of: building name, FHO time, maintenance period, components and types of work, quantity. The infrastructure division cannot see and change unit costs and development costs. Decision making on the implementation of building maintenance from the existing output is carried out by the Head of the Regional Apparatus Work Unit. Decisions taken by the Head of the Regional Apparatus Work Unit are expected to represent the priority scale of building maintenance that must be carried out by the Regional Apparatus Work Unit. In this building maintenance application, the total maintenance costs for each building and each month can be generated every year, and the total maintenance costs for the entire building and every month for each year, and the level of damage can be generated for each maintenance carried out on each building, and can the components and types of work to be carried out each month are known.
Integrated Evaluation and Learning System with OBE Ecosystem and “MBKM” I Gede Susrama Mas Diyasa; I Nyoman Dita Pahang Putra; Ni Made Ika Marini Mandenni; Mohammad Rafka Mahendra Ariefwan; Rangga Laksana Aryananda
Nusantara Science and Technology Proceedings 7st International Seminar of Research Month 2022
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.3381

Abstract

Outcome-Based Education (OBE) is an outcome-based or achievement-based learning system. The system emphasizes the achievements of student learning that must be identified first (for example, students must have the attainment of knowledge about something that must be mastered or students must have skills that must be achieved, for example, having to know knowledge about websites and having to be able to make webs) which can then be used as a basis for determining the future, planning what learning methods are, and assessments (assignments, quizzes, presentations, tests, etc.) adjusted to these outputs (results of statistical analysis of previous results/outcomes). In contrast to traditional learning, the major attention is on the teaching and learning process that adapts to the material in the syllabus. In addition, the assessment in conventional learning uses the knowledge that must be achieved, while the OBE assessment process uses a predetermined outcome level. The outcome to be determined and achieved is determined based on the stakeholder (alumni, graduate, company/workplace, or someone who has an interest and is bound by the study program or course that adapts to the needs of the company or workplace), if traditional learning only uses the syllabus or material that has been determined which is relatively the same every year.
ANALYSIS OF CLUSTERING METHODS ON THE CAUSAL FACTORS OF DIABETES MELLITUS WITH FUZZY C MEANS METHOD Adiwidyatma, Afdhal Reshanda; Mas Diyasa, I Gede Susrama; Trimono, Trimono
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 2 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i2.611

Abstract

This study focuses on the effectiveness of clustering algorithms, namely Fuzzy C-Means by using k-Means algorithm as a supporting method, in the factors that cause Diabetes Mellitus. Diabetes mellitus is a chronic disease characterized by high levels of sugar (glucose) in the blood. Indonesia ranks 5th with the highest diabetes Mellitus patients in the world. This study aims to understand the pattern of factors causing Diabetes Mellitus and test the effectiveness of the clustering algorithm used. The data analysis methods include data collection, data pre-processing, distribution of cluster numbers, algorithm implementation, model adjustment, model training, model evaluation, and analysis of results. The results showed that the Fuzzy C-Means algorithm gets a coefficient of Fuzzynes score of 0.23 with a validation score of 0.40, while for supporting methods used K-Means algorithm gets a validation score of 0.32. This result shows that Fuzzy C-Means algorithm is superior in clastering the factors that cause Diabetes mellitus. The results of what variables have the most effect on cluster values 0 and 1. Where cluster 0 is a cluster that shows which variables are more at risk of diabetes, while cluster 1 is a cluster whose value shows what variables are far from the risk of causing diabetes mellitus. Then based on the results of the cluster that has been done, random blood sugar variables become the most influential variable on the risk of developing diabetes mellitus, followed by blood sugar variables 2 hours PP, and fasting blood sugar
Co-Authors Achmad Junaidi Achmad Junaidic Adiwidyatma, Afdhal Reshanda Ahmad Naufal Mumtaz Akmal, Mohammad Faizal Alfiatun Masrifah Alhamda, Denisa Septalian Amanullah , Nurkholis Anak Agung Diah Parami Dewi Ardianto, Taruna Ariyono Setiawan Aryananda, Rangga Laksana Aurelia, Cenditya Ayu Awaludin W., Moh. Haydir Awang, Mohd Khalid Azizah, Nabila Wafiqotul Bambang Trigunarsyah Bambang Trigunarsyah Budi Nugroho Cahyani Kuswardhani, Hajjar Ayu Dewi, Deshinta Arrova Dewi, Deshinta Arrowa Dwi Arman Prasetya Dwi Kusuma, Irma Erma Suryani Etniko Siagian, Pangestu Sandya Eva Yulia Puspaningrum Fara Disa Durry Fatmah Sari, Allan Ruhui Firmansyah, Taufik Nur Firya Nadhira Gideon Setya Budiwitjaksono Gideon Setya Budiwitjaksono Gunawan, Ellexia Leonie Hadi, Surjo Hafidz Amarul Ma’rufi Halim, Christina Hamawi, Moch. Hawin Humairah, Sayyidah I Nyoman Dita Pahang Putra I Nyoman Dita Pahang Putra Ilham Ade Widya Sampurno Ilham Ade Widya Sampurno Intan Yuniar Purbasari Jauharis Saputra, Wahyu Syaifullah Jojok Dwiridotjahjono Kraugusteeliana Kraugusteeliana Mandeni, Ni Made Ika Marinni Mandyartha, Eka Prakarsa Moch. Hatta Mohamad Nur Amin Mohammad Idhom Mohammad Rafka Mahendra A Mohammad Rafka Mahendra Ariefwan Mudjahidin Muhammad Rif'an Dzulqornain Mumtaz, Ahmad Naufal Munoto Mustika, Agung Nadhira, Firya Nahusuly, Barep J. A. I. Ni Made Ika Marini Mandenni Ni Made Ika Marini Mandenni NYOMAN DITA PAHANG PUTRA, NYOMAN Prabowo, Aris Prasetyo, Galih Novian Putri, Fitri Aulia Yuliandi Raditya, Askara Rangga Laksana A Rangga Laksana Aryananda Rheza Rizqi Ahmadi Ridho Syahdindo Rizal Harjo Utomo Sabrina Charya Floribunda Santoso, Sri Fuji Senny Meliyan Setiawan, Ariyono Setiawan, Ariyono Shodiq, Ja’far Slamet Winardi Sri Wibawani, Sri Sugeng Purwanto Sugiarto S Sugiarto Sugiarto Sugiarto, Sugiarto Sukri, Hanifudin Sulianto Bhirawa Sunarko, Victor Immanuel Suryani, Dedik Taruna Ardianto Terza Damaliana, Aviolla Trimono, Trimono Wafiqotul Azizah, Nabila Wahyu Caesarendra Wahyu Dwi Lestari Wahyu S.J. Saputra Wan Awang, Wan Suryani Wardhani, Naritha Cahya Widianto, Purwito Ridho Widiastuty, Riana Retno Wijaya, Pandu Ali Yisti Vita Via