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All Journal Jurnal Teknologi dan Manajemen Informatika PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic SMATIKA KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jurnal Ilmiah KOMPUTASI JURNAL MEDIA INFORMATIKA BUDIDARMA INTECOMS: Journal of Information Technology and Computer Science IJISTECH (International Journal Of Information System & Technology) JURIKOM (Jurnal Riset Komputer) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Building of Informatics, Technology and Science Jurnal Mantik Jurnal Teknologi Informasi dan Multimedia Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Teknik Informatika C.I.T. Medicom JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Teknologi Informatika dan Komputer IJISTECH KLIK: Kajian Ilmiah Informatika dan Komputer JUSTIN (Jurnal Sistem dan Teknologi Informasi) Smatika Jurnal : STIKI Informatika Jurnal INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER) International Journal of Teaching and Learning (INJOTEL) INTERNATIONAL JOURNAL OF FINANCIAL ECONOMICS (IJEFE)
Agus Iskandar
Universitas Nasional
Religion Humanities 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 Mathematics Social Sciences Other

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Implementasi Sistem Keamanan Kebocoran Gas LPG Berbasis Android Menggunakan Metode Algoritma Fuzzy Rifqi Habibi Sachrrial; Agus Iskandar
Jurnal Teknologi Informatika dan Komputer Vol. 9 No. 2 (2023): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v9i2.1717

Abstract

Kebocoran pada tabung gas merupakan situasi yang serius dan berpotensi membahayakan keselamatan manusia dan lingkungan sekitar. Tabung gas, terutama tabung gas bertekanan seperti LPG (Liquefied Petroleum Gas), menyimpan gas dalam bentuk cair atau padat di bawah tekanan tinggi. Kebocoran dapat terjadi akibat berbagai faktor, seperti cacat produksi pada tabung, korosi akibat paparan lingkungan yang merusak, atau kesalahan dalam pemasangan katup atau pengait tabung. Bahkan penggunaan berulang dari tabung gas dapat menyebabkan penurunan kekuatan material dan potensi kebocoran. Pembuatan sistem pendeteksi kebocoran gas LPG menjadi sangat penting. Penelitian ini mengusulkan untuk menerapkan sistem pendeteksi kebocoran LPG pada platform Android dengan menggunakan metode algoritma fuzzy. Metode algoritma fuzzy digunakan karena kemampuannya mengatasi ketidakpastian dan variabilitas dalam data sensor. Sistem yang diusulkan mencakup sensor gas LPG yang terhubung ke perangkat Android. Data dari sensor gas LPG dikumpulkan secara real time dan diproses oleh sistem menggunakan konsep logika fuzzy untuk mengetahui tingkat kebocoran gas. Langkah-langkah pengembangan sistem meliputi perancangan aplikasi Android untuk pemantauan kadar gas, pengolahan data sensor menggunakan algoritma fuzzy, dan integrasi notifikasi berbasis Android untuk memberitahukan pengguna tentang risiko laten kebocoran gas. Hasil pengujian menunjukkan bahwa sistem dapat mendeteksi dan memberikan peringatan dini tingkat kebocoran LPG dengan relatif akurat. Sistem pendeteksi kebocoran gas LPG berbasis Android dengan metode algoritma fuzzy ini dapat menjadi langkah penting dalam menjaga keamanan masyarakat dan lingkungan dari potensi risiko yang ditimbulkan oleh kebocoran gas LPG.
Perancangan Sistem Pengelolaan Zakat Masjid Jami Al-Muhajirin Berbasis Web Menggunakan Metode Research and Development (R & D) Bagas Prayoga; M. Iwan Wahyudin; Agus Iskandar
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 11 No 02 (2021): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v11i02.576

Abstract

Technology is increasingly advanced and developing, especially in this modern era, people want things that are practical. This application system is also very much needed in the future in managing zakat at the Jami Al-Muhajirin Mosque and making it easier to pay online. The aim of the author to achieve is to produce a web-based zakat management system at the Jami al-Muhajirin mosque by using the R&D method of application systems in web-based zakat management at the Jami al-Muhajirin mosque to facilitate the management of mosque zakat and can help facilitate the Jami al-Muhajirin mosque committee. -muhajirin in collecting data and making it easier for muzakki to pay online. The function of the R&D method used to create a particular application and the success of the web. The final results of testing zakat payers no longer need to come to the mosque because they can use the website and the committee can make it easier to collect zakat payment reports with the website.
Sistem Pendukung Keputusan Rekomendasi Dalam Pemilihan Pemeliharaan Ikan Air Tawar Ekonomis Menerapkan Metode Additive Ratio Assesment (ARAS) Agus Iskandar
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 4 No. 2 (2022): Desember 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v4i2.5176

Abstract

Developing a business in fresh water is a promising business, because food ingredients such as fresh water fish are always needed by every community. Freshwater fish are fish that live in fresh water, such as living in lakes, rivers and so on. if someone wants to build a freshwater business, then the type of freshwater fish that is suitable and the easiest to maintain must be chosen. The many types of freshwater fish make prospective business owners confused in choosing which type of water fish is suitable for business. In helping the owner solve these problems, a decision support system is needed. A decision support system is a system developed on a computer, where the development uses computer-based steps or methods. SPK requires a method in its application. The method used in this study is the ARAS method. The ARAS method is an acronym for the Additive Ratio Assessment Method (ARAS). The ARAS method is the method used in ranking each alternative by using the reference, namely the criteria as the calculation material. By using the SPK using the ARAS method, the result is that by using the ARAS method, the selection of freshwater fish that is highly recommended to be kept is Alternative A1 with the type of fish, namely catfish as the best alternative.
Perbandingan Metode Dempster Shafer Dan Teorema Bayes Dalam Sistem Pakar Mendiagnosa Moyamoya Disease Naufal Rifqi; Agus Iskandar
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 1 (2023): September 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i1.6819

Abstract

The main aim of this research is to compare two analytical approaches, namely the Dempster-Shafer Method and the Bayes Theorem, in the context of a system developed for diagnosing Moyamoya disease. Moyamoya is a rare condition involving the narrowing or blocking of blood vessels in the brain, which can lead to disrupted blood flow and an increased risk of stroke. In the medical field, diagnosing Moyamoya disease is a crucial initial step for appropriate treatment planning. The Dempster-Shafer Method is an approach used to address uncertainty and combine uncertain information into a conclusion. On the other hand, the Bayes Theorem is a statistical principle that connects the probability of a hypothesis before and after new evidence emerges. Both of these approaches are vital in the medical diagnostic process. In this study, both methods are implemented in an expert system specifically developed for diagnosing Moyamoya disease. Data from Moyamoya cases are used to evaluate the performance of both methods. Performance measurement is conducted by observing diagnostic accuracy, computational time, and resource usage. The results of this research provide valuable insights into the effectiveness and performance of the Dempster-Shafer Method and the Bayes Theorem in medical applications, particularly in diagnosing Moyamoya disease. Strengths and weaknesses of each approach are revealed, aiding in understanding situations where each method is most suitable. The Dempster-Shafer Method is effective in dealing with complex uncertainties and combining uncertain evidence. Meanwhile, the Bayes Theorem excels in probability calculations. The implications of this research are important in developing more advanced medical expert systems. In the medical realm, where diagnostic decisions impact patient care, a better understanding of these approaches helps in selecting the most appropriate method for specific situations. The results of comparing both methods indicate that the Dempster-Shafer Method yields a high probability of around 91%, indicating a substantial likelihood that the patient is suffering from this disease. Conversely, the Bayes Theorem yields a low probability of around 22%, suggesting a relatively small likelihood that the patient has Moyamoya Disease.
Prioritas Penanganan Anemia pada Ibu Hamil Menggunakan Metode TOPSIS Naufal Rifqi; Agus Iskandar
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 1 (2023): September 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i1.6820

Abstract

During pregnancy, women experience anemia which can negatively impact maternal health and fetal development. The government has taken various measures to address anemia in pregnant women, but the reduction in anemia rates has not been significant. Therefore, the treatment needs to be focused on individuals with high risk to be more effective. Decision Support System (DSS) is a tool used in complex decision-making processes and one of the methods is TOPSIS. TOPSIS is used to set priorities by comparing each alternative against predetermined positive and negative ideal solutions. In this study, there are 10 alternatives and 5 criteria. Based on the results of calculations with the TOPSIS method, Alternative 3 (A3) with a preference value of 0.246561061 is designated as a pregnant woman who must be prioritized in handling anemia.
Analisis Perbandingan Kinerja Clustering Data Mining Untuk Normalisasi Dataset Siti Emalia Saqila; Intan Putri Ferina; Agus Iskandar
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 2 (2023): Desember 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i2.6919

Abstract

Nowadays, the development and influence of technology in human life is very important, where the role of technology greatly influences the activities carried out by humans. In a company organization, technology is not only used as a process to speed up the processes carried out. The use of such important technology also increases the size or volume of available data information. A dataset is a collection of data obtained in a data warehouse. Data mining is a technique that is part of Knowledge Discovery in Database (KDD). Clustering is a grouping process carried out in data mining. The first problem that is central to the research is that the values obtained from the clustering process are sometimes still not considered optimal. The performance results of the data mining clustering algorithm cannot yet be fully used as a basis for decision making. Comparisons made in clustering data mining are used to assist in the decision making process. In this research, the algorithms that will be used for comparison of performance are the K-Means and K-Medoids algorithms. Another problem that needs special attention is the problem of data quality. The results obtained from the data mining process can be seen from the quality of the data stored or used in the data processing process. Normalization is part of preprocessing data mining which aims to re-reason it based on a new scale. Z-Score is a normalization carried out on data based on statistical functions. The results obtained in the research The role of normalization in the research is very important, this is because using Z-Score normalization can improve the performance of the K-Means and K-Medoids algorithms, this can be seen from the DBI value obtained which is smaller when normalization is carried out compared to before it is carried out normalization, which indicates that performance is better after normalization. In the comparison of algorithms, the K-Medoids algorithm gets better performance, this can be seen from the DBI value obtained at 0.773 at K=9 after normalization. Meanwhile, the K-Means algorithm obtained a value of 0.783 at K=9 after normalization as well
COMPARISON OF IMPLEMENTATION BETWEEN EMA, WMA, SMA IN PREDICTING IHSG Ahmad Dwikhaldi Rifai; Tio Adi Kurniawan; Agus Iskandar
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 1 No. 8 (2024): INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER)
Publisher : Adisam Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study compares the implementation of Exponential Moving Average, Weighted Moving Average , and Simple Moving Average in the movement of the Composite Stock Price Index. Through the analysis of historical IHSG data, we found that EMA consistently outperforms WMA and SMA with higher accuracy. This result indicates that the use of EMA, focusing on recent data, can be a more responsive approach to changes in stock market trends. However, this research also highlights the need to consider the weaknesses and limitations of each forecasting method. The implications of these findings can provide valuable guidance for stock market practitioners in investment decision-making. Future research can deepen this analysis by considering additional factors to improve IHSG predictions
BLOG CREATION TRAINING TO INCREASE THE POTENTIAL OF ECO TOURISM THROUGH SOCIAL NETWORK MEDIA Muhammad Ilham; Agus Iskandar
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 1 No. 12 (2024): INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER)
Publisher : Adisam Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In an effort to increase the potential of eco tourism through the use of digital technology, this community service program is implemented with the main aim of training eco tourism actors in creating and managing blogs, as well as using social media for tourism promotion. This training is designed to address the lack of digital skills among eco tourism practitioners and improve their skills in creating attractive and effective digital content for online promotions. The method used in this training includes a series of theoretical and practical workshops that focus on the basics of blogging, search engine optimization (SEO), and social media marketing strategies. The results of this training show a significant increase in participants' knowledge and skills in creating blogs and utilizing social media, which is reflected in the increase in the quality of their content and online activities. This study recommends further development of the training curriculum with the integration of advanced techniques and more varied case studies, as well as increased ongoing support for trainees in applying new knowledge and skills in the real context of the ecotourism business.
TRAINING IN CREATING A DATABASE FOR STORING AND MANAGING SCHOOL DATA Agus Iskandar; Gatot Soepriyono
International Journal of Teaching and Learning Vol. 1 No. 10 (2024): International Journal of Teaching and Learning (INJOTEL)
Publisher : Adisam Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In the current digital era, managing school data efficiently and effectively is crucial to supporting the learning and administration process. The background to this initiative is rooted in the need to store, access and manage school data in a more structured and systematic way. Problems often faced include limitations in storage capacity, difficulties in accessing data quickly, and challenges in ensuring data security. To overcome this, the proposed method is database creation training which is designed to provide an in-depth understanding of basic database principles, effective database design, as well as data management and security techniques. The aim of this training is to equip school staff and administrators with technical skills in building and managing school databases, so as to increase operational efficiency and ensure the integrity and security of educational data. This will enable schools to utilize information technology to better manage information resources, support strategic decisions, and improve the quality of education.
COMPUTER-BASED MULTIMEDIA USAGE TRAINING Agus Iskandar; Anugrah Pramuja
International Journal of Teaching and Learning Vol. 1 No. 12 (2024): International Journal of Teaching and Learning (INJOTEL)
Publisher : Adisam Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This community service with the title "Training on the Use of Computer-Based Multimedia" aims to improve people's digital literacy and multimedia skills in the fast-paced digital era. This program is designed to teach participants how to integrate various forms of digital media such as text, images, video, and audio in their work and daily lives. This training involves a series of modules that include an introduction to multimedia, technical training, practical applications, and evaluation. Through a combination of face-to-face and online learning methods, this program has succeeded in reaching participants from various backgrounds, including teachers, MSMEs and the general public. Evaluation results showed significant improvements in participants' skills and confidence in managing multimedia content. More than 85% of participants reported substantial improvements in their ability to implement multimedia technology in their professional and personal practices. This service not only provides technical skills but also encourages innovation and technological adaptation in various aspects of life. Suggestions for future research include expanding the scope of training with the latest technology, improving infrastructure, and creating a wider collaboration network with the technology industry. This program provides a model that can be adapted and applied in various other societal contexts to increase the accessibility and effectiveness of digital education.
Co-Authors Abdul Rahman Aditya lutfi Irawan Aei Dhelwis Okdhianthy Putri Agung Triayudi Ahmad Dwikhaldi Rifai Aldi Ardiansyah Amelia H Ikhlas Andreas Dwiyanto Andrianingsih Anugrah Pramuja Arie Gunawan Arya Dimas Setiadi Avicienna Adhi Narendro Purnomo badriawan sukma Bagas Ade S Bagas Prayoga Ben Rahman Bimo Anggoro Seno Binsar Pamungkas Batu Bara Dandi Putra Denissa A. Putri Dhea Andarweni Eka Permana Putra Eldy Dwi Sentosa Fahmi Apriliansyah Fauziah Fauziah Firdo Andri Saputra Galih Rakasiwi Gatot Soepriyono Ghifari Yusuf Abdillah Haidar Ali Hanni Deswita Heru Saputro Intan Putri Ferina Iskandar Fitri Iskandar Fitri Iskandar Fitri Iskandar Fitri Iwan Wahyudin M. Iwan Wahyudin M. Mustaqim Mauludani Muhammad Mochammad Arya Darmawan Mohammad Iwan Wahyuddin Muhammad Ilham Muhammad Naufal Rifqi Muhammad Rizky Hamdan Naufal Rifqi Niam Shofi Oky Triadi Sampurno Olipa Sarta Matilda Purba Puji Ariyanto Raihan Abdi Negoro Rian Rasyidhi Richard Ronaldo Marbun Rifqi Habibi Sachrrial Rifqi Habibi Sachrrial Rosyidah Rahmah Septi Andryana Shandy Nurjaman Siti Emalia Saqila Sri Intan Maharani Tio Adi Kurniawan Ucuk Darusalam Vendy Blessing Gulo Yoga Septian Nugraha