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All Journal Jurnal Teknologi dan Manajemen Informatika 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)
Agus Iskandar
Universitas Nasional
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 Social Sciences

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Usability Testing Menggunakan Metode Heuristik dan End User Computing Satisfaction Pada Website Ikan Hias Menteng Mauludani Muhammad; Agung Triayudi; Agus Iskandar
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 1 (2023): Agustus 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i1.991

Abstract

Ornamental Fish Menteng is a website that provides information services located in Sumenep Menteng. With the Menteng Ornamental Fish website, website visitors can get information on the ornamental fish they are looking for to visit, with information and recommendations and prices for ornamental fish. In this review, the authors dissect the satisfaction level of using the ornamental fish menteng website with a comparison of the Heuristic Evaluation method and the End User Computing Satisfaction (EUCS) method to find the usability level of the ornamental fish menteng website. Where in the Heuristic Evaluation method a score of 9.118 is obtained while the End User Computing Satisfaction method obtains a score of 9.292. From a comparative analysis of usability levels, the authors get recommendations in an effort to improve websites. What needs to be considered, among others, are the Aesthetic and Minimalist Design variables, the Helping users variable and the Timeliness variable.
Aplikasi Food Sharing Menggunakan Metode Haversine dan Algoritma K-means Sri Intan Maharani; Fauziah Fauziah; Agus Iskandar
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 10, No 1 (2022)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/justin.v10i1.51429

Abstract

Limbah makanan saat ini merupakan masalah besar yang terjadi secara nasional maupun global. Berdasarkan data pada Food Sustainability Index, Indonesia menghasilkan sampah makanan sebanyak 4.86 persen dari total produksi pangan dan 77 kapita per tahun dari limbah rumah tangga. Masalah sampah makanan ini berhubungan dengan kemiskinan dan kelaparan. Pada data Global Hunger Indonesia menyatakan, tingkat kelaparan Indonesia berada pada level moderat dimana masih banyak masyarakat Indonesia yang membutuhkan makanan. Dalam upaya penangangan masalah ini penulis membangun sistem donasi makanan berbasis web menggunakan metode haversine dan algoritma k-means. Metode Haversine menghasilkan jarak lokasi pemberi makanan dan konsumen makanan sedangkan algoritma k-means menghasilkan pemetaan wilayah berdasarkan tinggi, sedang, dan rendah persentase penduduk  miskin.  Pengujian metode haversine mengahasilkan tingkat keakurasian sebesar 98,97% dengan menggunakan data uji sebanyak 300 data sedangkan pada algoritma k-means menghasilkan 3 cluster yaitu cluster rendah berjumlah 285 anggota, cluster sedang berjumlah 182 anggota, dan cluster tinggi berjumlah 46 anggota dengan dataset 513 kabupaten dan kota di Indonesia. Hasil dari cluster ini diharapkan dapat membantu pemerintah dan masyarakat untuk lebih membantu wilayah dengan tingkat persentase penduduk miskin yang tinggi.
Perbandingan Metode Dempster Shafer, Case-Based Reasoning dan Certainty Factor dalam Diagnosis Penyakit Craniopharyngioma Agus Iskandar
Journal of Information System Research (JOSH) Vol 4 No 4 (2023): Juli 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i4.3554

Abstract

Craniopharyngioma is a rare benign brain tumor that originates from embryonic tissue of the pituitary gland. It is a type of brain tumor that develops near the pituitary gland at the base of the skull. Its prevalence is approximately 2-4% of all brain tumor cases. Collaboration among the medical team is crucial in providing optimal perioperative care. In diagnosing craniopharyngioma, an expert system can be utilized. The Expert System aids in identifying problems and providing appropriate solutions. Its existence can expedite the process of problem identification and system repair. Additionally, the Expert System can also help reduce consultation costs with experts, as it can provide solutions comparable to those given by experts. This study aims to compare the results of the Dempster-Shafer, Case-Based Reasoning, and Certainty Factor methods in diagnosing craniopharyngioma. The study will determine the percentage results of the Dempster-Shafer, Case-Based Reasoning, and Certainty Factor methods in diagnosing craniopharyngioma to ascertain which method is most accurate in diagnosing the disease. The percentage results from the application of the DS and CF methods yielded the same result of 99.8%, whereas the CBR method only achieved a diagnosis percentage of 51.4% for craniopharyngioma. Hence, it can be observed that the CBR method yields the lowest percentage diagnosis for craniopharyngioma.
Analisa Perbandingan Complate Linkage AHC dan K-Medoids Dalam Pengelompokkan Data Kemiskinan di Indonesia Rifqi Habibi Sachrrial; Agus Iskandar
Building of Informatics, Technology and Science (BITS) Vol 5 No 2 (2023): September 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v5i2.4310

Abstract

The poverty rate in Indonesia has increased from 9.54 percent in March 2022 to 9.57 percent in September 2022 due to inflation and low wages and people's incomes. To overcome this problem, steps such as providing social assistance, creating decent jobs, and increasing wage standards are needed to increase people's purchasing power and reduce poverty in the future. The government needs to pay special attention to provinces with high poverty rates through special programs and efforts to increase income and the economy in these areas. Data Mining is a solution in solving this problem by utilizing the clustering method which is known as the clustering method. The clustering method used in this study is the AHC method and the K-Medoids method. In order to determine the provinces with the highest number of poor people, the AHC and K-Medoids clustering methods will be applied separately so that the final results of each will be analyzed. The results of the analysis show the formation of three clusters with different cluster locations. The application of the AHC method resulted in cluster 2 with the largest number of provinces, namely 22 provinces, followed by cluster 0 with 9 provinces, and cluster 1 with only 3 provinces. While the application of the K-Medoids method resulted in cluster 1 with the largest number of provinces, namely 22 provinces, followed by cluster 0 with 9 provinces, and cluster 2 with only 3 provinces. Although the location of the clusters is different between the two methods, the number of provinces in the cluster is the same so that a cluster with a total of 3 provinces is declared the province with the largest number of poor people.
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.
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 : STMIK 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 : STMIK 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.
Sistem Pendukung Keputusan Rekomendasi Wedding Organizer Terbaik Menerapkan Metode MOORA dan Pembobotan ROC Muhammad Naufal Rifqi; Agus Iskandar
Journal of Information System Research (JOSH) Vol 5 No 1 (2023): Oktober 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i1.4433

Abstract

Wedding Organizer provides a variety of services to help couples prepare and organize their wedding according to their wishes. However, with so many choices of wedding planners in Medan, couples often have difficulty choosing the best one for their needs. Decision Support System (DSS) is a strategy that assists in decision making by applying mathematical and statistical techniques to available data. In the case of selecting a Wedding Organizer, SPK can be used to assist couples in assessing and choosing the optimal option that matches the parameters that have been set. This complex selection process involves careful consideration of price, quality of service, reputation, portfolio and experience. The MOORA method with the ROC weighting method is one of the methods that can be used in DSS to select the best alternative based on several criteria. The MOORA method allows ranking alternatives based on different criteria, while the ROC method weighting can help overcome data imbalance problems and optimize model performance in decision making. From the results of calculations using the MOORA and ROC methods that have been carried out from 8 alternatives, it produces recommendations for the wedding organizer, namely getting 4 highly recommended alternatives while 4 other alternatives are sufficiently recommended. The research findings show that the application of the MOORA method with the ROC Method assessment is able to provide recommendations that are more precise and in accordance with the established criteria, assisting couples in making accurate and efficient decisions when choosing the Wedding Organizer that best suits their wishes and needs.
Sistem Pendukung Keputusan Pemilihan Apartemen Terbaik Menerapkan Metode TOPSIS dan Pembobotan ROC Firdo Andri Saputra; Agus Iskandar
Journal of Information System Research (JOSH) Vol 5 No 1 (2023): Oktober 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i1.4434

Abstract

An apartment is a residential unit or place to live in a high-rise building, usually consisting of several floors or levels. Choosing an apartment is very difficult because there are many factors that must be considered in choosing the apartment. In Jakarta Selatan City, there are many apartments, because each apartment has its own conditions and charm. There are problems with apartment buyers because of the variety of facilities available, so buyers are confused about choosing which apartment is most suitable for them. So by implementing a system that can help decisions and provide recommendations for apartments that are suitable for customers. This research has 5 criteria, namely: Price, Size, Cost, Facilities and Location. Therefore, by implementing a Decision Support System using the TOPSIS method and ROC weighting which can produce weight values and produce ranking values which can help in solving the problems in this research. So the one chosen in the selection of the best alternative apartment A5 was the Denpasar Residence with a value of 0.8396
Analisis Perbandingan Metode Simple Additive Weighting (SAW) dan Weighted Product (WP) dengan Pembobotan Rank Order Centroid (ROC) dalam Pemilihan Mahasiswa Terbaik Denissa A. Putri; Amelia H Ikhlas; Agus Iskandar
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1449

Abstract

Students are the main element of a college. So that the assessment of the quality of a tertiary institution can be seen from the achievement and quality weight scores of each student studying at that tertiary institution. The university's awareness of this reality ultimately gave rise to the university's intention to increase student learning motivation. There are many ways in which universities can increase student motivation to become intellectual and qualified individuals. One way to motivate students is by giving awards to outstanding students. The problem is that there are so many students in higher education that it will be difficult to choose students of quality. To solve this problem, SPK is needed. SPK functions to help parties who are having difficulty making a decision. SPK requires a method. The methods used in this research are the SAW and WP methods with ROC weighting. The results obtained in this research are the first method SAW with a value of 0.9847 as the best alternative with code A7 in the name of Sapadi Sinebang. Compared with the WP method with a result of 0.1826 as the alternative with the highest value in the name of Sapadi Sinebang as the best alternative
Co-Authors Aditya lutfi Irawan Aei Dhelwis Okdhianthy Putri Agung Triayudi Aldi Ardiansyah Amelia H Ikhlas Arie Gunawan Arya Dimas Setiadi Avicienna Adhi Narendro Purnomo badriawan sukma Bagas Prayoga 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 Ghifari Yusuf Abdillah Haidar Ali Heru Saputro Iskandar Fitri Iskandar Fitri Iskandar Fitri Iskandar Fitri Iwan Wahyudin M. Iwan Wahyuddin M. Iwan Wahyudin M. Mustaqim Mauludani Muhammad Mochammad Arya Darmawan Moh. Iwan Wahyuddin 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 Sri Intan Maharani Ucuk Darusalam Vendy Blessing Gulo Yoga Septian Nugraha