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All Journal Jurnal Penelitian Journal of Computer, Electronic, and Telecommunication (COMPLETE) Jurnal Sistem Informasi dan Ilmu Komputer Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Jurnal Informatika Polinema (JIP) Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Modem : Jurnal Informatika dan Sains Teknologi Switch: Jurnal Sains dan Teknologi Informasi
Agung Mustika Rizki
Unknown Affiliation
Aerospace Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Library & Information Science Transportation

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RANCANGAN PERANGKAT LUNAK OUTBOUND BELA NEGARA BERBASIS WEB Hadiansyah Rachmawan Putra; Chrystia Aji Putra; Agung Mustika Rizki; I Gede Susrama Mas Diyasa; Sri Wibawani; Ariyono Setiawan
Jurnal Penelitian 173-179
Publisher : Politeknik Penerbangan Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46491/jp.v6i3.585

Abstract

Teknologi saat ini mengalami perkembangan sangat pesat dan memberi banyak manfaat dalam berbagai aspek. Saat ini, teknologi sangat membantu dalam memberikan fasilitas untuk menjalakan kegiatan secara online. Semua kegiatan yang biasa dilakukan diluar rumah atau lapangan seperti pekerjaan, sekolah maupun berpergian kini terhalang karena adanya pandemik COVID-19 ini. Seperti halnya kegiatan Outbond Bela Negara ini yang harus dilaksanakan secara daring atau online di rumah masing – masing padahal yang seharusnya kegiatan ini dilaksanakan di luar lapangan. Terkait dengang permasalahan tersebut maka dibutuhkan sebuah sistem yang bisa menjadi sarana kegiatan Outbond Bela Negara seperti mengumpulkan tugas, melihat informasi tentang Bela Negara dan pemberian nilai terhadap tugas tersebut. Penelitian ini menghasilkan Sistem Informasi Outbond Bela Negara (SIOBEL) yang berbasis website dengan menggunakan framework Vue.JS di sisi Client, diintegrasikan menggunakan API menggunakan GraphQL. Untuk melakukan pengujian sistem ini akan menggunakan metode Blackbox.
TESTING OF THE DECISION SUPPORT SYSTEM OF DEPARTMENT DETERMINATION ON HIGH SCHOOL STUDENTS USING BLACK BOX METHOD BASED ON EQUIVALENCE PARTITIONS Khonsa Salsabila; Fetty Tri Anggraeny; Agung Mustika Rizki
Jurnal Informatika Polinema Vol. 9 No. 1 (2022): Vol 9 No 1 (2022)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v9i1.1062

Abstract

Pengujian kualitas pada perangkat lunak sangat penting sebelum pengguna menggunakan perangkat lunak tersebut. Pengujian terhadap perangkat lunak diperlukan untuk meminimalisir kerugian yang terjadi akibat kesalahan sistem. Pada penelitian ini yaitu pengujian pada perangkat lunak penentuan jurusan dengan menggunakan Black Box Testing teknik Equivalence Partitions. Teknik Equivalence Partitions ini berfokus pada pengujian dengan menggunakan masukan data pada masing-masing form yang terdapat pada sistem pendukung keputusan penentuan jurusan, setiap form masukan akan dilakukan pengujian dan dikelompokkan berdasarkan fungsinya baik itu sesuai maupun tidak. Hasil dari pengujian dengan menggunakan Black Box Testing berbasis Equivalence Partitions memberikan hasil dimana kita akan mengetahui apakah perangkat lunak ini memiliki kesalah atau tidak, serta pengujian ini dapat menjamin kualitas dari perangkat lunak sistem pendukung keputusan penentuan jurusan ini.
Pembuatan Aplikasi Computer Based Test Berbasis Website Menggunakan Algoritma Fisher-Yates Shuffle: Studi Kasus: MTs Faqih Hasyim Sidoarjo Raviy Bayu Setiaji; Firza Prima Aditiawan; Agung Mustika Rizki
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 2 No. 1 (2024): Februari : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v2i1.2417

Abstract

This research focuses on the development of a web-based Computer Based Test (CBT) Application for Madrasah Tsanawiyah (MTs) Faqih Hasyim in Sidoarjo, East Java. This application aims to overcome conventional evaluation problems with paper and pen, such as cheating, scoring errors, and data management difficulties. Using web technologies such as HTML, CSS, PHP, and JavaScript, the application integrates the Fisher-Yates Shuffle algorithm to randomize the order of questions, reducing the possibility of cheating during the exam. Equipped with session tokens, exam timing, and result reports, the app improves the overall efficiency of the evaluation process. This study refers to previous research and highlights the importance of adopting technology to simplify assessment and facilitate online data management. The Fisher-Yates Shuffle algorithm, used to generate a unique sequence of questions for each student during the exam, minimizes the risk of cheating. The app implements a staged exam, ensuring students who meet the minimum criteria proceed to the next stage. In addition, the app achieves a degree of randomization of the exam content, eliminating patterns that may affect the exam results. The feasibility testing results show that the app is highly feasible, with a feasibility percentage of 92.4%. This conclusion signifies the app's success in achieving its development goals and making a positive contribution in easing the exam grading process. It is recommended to simplify the interface for senior users, improve the responsiveness of the website display for mobile access, and add a time limitation method in future research. Keywords: Fisher-Yates Shuffle Algorithm, Computer Base Test, Question Randomization.
Analisis Sentimen Pada Pembatalan Tuan Rumah Indonesia Di Piala Dunia U-20 Menggunakan Fasttext Embeddings Dan Algoritma Recurrent Neural Network Aan Evian Nanda; Andreas Nugroho Sihananto; Agung Mustika Rizki
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 2 No. 2 (2024): April : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v2i2.1000

Abstract

Indonesia's golden opportunity to take part in a world-class soccer competition at the U-20 World Cup competition was wiped out, as FIFA gave the decision to revoke Indonesia's status as host of the U-20 World Cup. Indonesian netizens who felt disappointed expressed their opinions and trended on social media Twitter. This research focuses on sentiment analysis of tweets using a combination of FastText embeddings method for word vectorization and using LSTM type RNN algorithm for sentiment classification. The dataset used totals 9,645 data consisting of 4,141 positive data and 5,504 negative data taken from March 29, 2023 to April 05, 2023. The test results on the LSTM model provide the best performance with an accuracy value of 74.92%, precision 74.74%, recall 74.92%, and f1-score 74.78%. The conclusion of this research is that the majority of datasets have negative sentiments, which means that people are more likely to give negative opinions than to provide support to Indonesian football which is experiencing problems. It is hoped that with this conclusion in the future people will better control their opinions and provide positive opinions when Indonesia is experiencing problems.
Analisis Kualitas Model Proses dalam Implementasi Process Mining : Literature Review Afina Lina Nurlaili; Agung Mustika Rizki
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 1 No. 2 (2020): December
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v1i2.74

Abstract

Proses bisnis memiliki peran dalam mengatur pola kerja suatu organisasi. Kerumitan dalam membuat proses bisnis menjadi tantangan tersendiri, terutama jika pekerjaan yang dicakup relatif banyak. Process mining menjadi salah satu solusi yang paling handal dengan secara otomatis dapat menemukan model proses, menganalisis kualitas model proses hingga dapat meningkatkan kualitas model proses dari data event log yang tersimpan pada sistem informasi. Penelitian ini mengevaluasi tiga algoritma process mining, yaitu Alpha, Alpha++, dan Heuristic Miner dalam hal pembuatan model proses dan kualitasnya. Berdasarkan evaluasi yang dilakukan, algoritma Alpha, Alpha++, dan Heuristic Miner memiliki kecocokan tersendiri untuk kasusnya masing-masing.
Sistem Pakar Diagnosis Penyakit Gizi Pada Balita Dengan Menggunakan Metode Dempster Shafer Debi Unsilatur Utami; Budi Nugroho; Agung Mustika Rizki
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 2 No. 3 (2024): Juli : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v2i3.132

Abstract

Children under five are more at risk of experiencing nutritional disorders because during this period children will experience very rapid growth and development. Nutritional disorders can result in children's performance in activities not being optimal, hampering the growth and development process, and can even cause disease. Malnutrition sufferers in Indonesia are increasing every year, and the percentage of malnutrition in Indonesia is around 3.4%. An expert system is a computer-based system built based on facts, knowledge and reasoning that can help solve a problem. However, to measure the uncertainty and level of expert confidence in identifying and detecting malnutrition, an expert system can use the Dempster-Shafer method. The results of testing the system model using the Dempster-Shafer method on toddler nutritional diseases obtained quite good results with system accuracy of 84% with a precision value of 81.83% and also a recall value of 80%.
Perancangan Sistem Pakar Diagnosa Penyakit Hipertensi dengan Metode Certainty Factor dan Dempster Shafer berbasis Website: Studi Kasus Puskesmas Brambang, Diwek, Jombang Basuki Rahmat; Agung Mustika Rizki; Muchammad Fadzillah Zain
Switch : Jurnal Sains dan Teknologi Informasi Vol. 3 No. 4 (2025): Juli: Switch : Jurnal Sains dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/switch.v3i4.454

Abstract

Hypertension is a common disease in society and can lead to serious complications if not properly managed. This study aims to design a web-based expert system to assist in diagnosing hypertension using the Certainty Factor and Dempster Shafer methods. The Certainty Factor method is used to measure the confidence level of reported symptoms, while the Dempster Shafer method combines information from various sources to generate more accurate decisions. The system is designed with a user-friendly interface to facilitate access for medical personnel and patients. The research results show that the Certainty Factor method achieved an accuracy 97,9%, while the Dempster Shafer method reache 96,4%. The accuracy difference of 1,4% indicates that the Certainty Factor method is more effective in handling the uncertainty of hypertension symptoms than the Dempster Shafer method.
Implementasi Metode Fuzzy Mamdani pada Sistem Pakar Mendiagnosis Penyakit Demam Berdarah Thomas Andrew Imanzaghi; Henni Endah Wahanani; Agung Mustika Rizki
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 3 No. 1 (2025): Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v3i1.378

Abstract

Indonesian people mostly tend to ignore health, especially dengue fever because the symptoms that arise are similar to common fever, this causes people with common fever symptoms to be reluctant to see a doctor. This study aims to help the public recognize the symptoms of dengue fever early by using the implementation of the fuzzy method in the dengue fever disease diagnosis system that uses specific datasets as a reference. Mamdani's fuzzy method, which is based on linguistic frameworks and fuzzy concepts, allows for the management of knowledge from experts for intuitive decision-making. The test results using the Confusion Matrix, the system showed an accuracy of 92.8%, an average precision of 90.6%, a recall of 95.8%, and an F1-Score of 92.6%, with an effectiveness value of 100%. This study proves that the system is able to provide information about dengue fever, diagnose based on symptoms, and offer solutions for its treatment.
Co-Authors Aan Evian Nanda Afina Lina Nurlaili Andreas Nugroho Sihananto Ariyono Setiawan Basuki Rahmat Budi Nugroho Debi Unsilatur Utami Fetty Tri Anggraeny Firza Prima Aditiawan Hadiansyah Rachmawan Putra Henni Endah Wahanani I Gede Susrama Mas Diyasa Khonsa Salsabila Muchammad Fadzillah Zain Putra, Chrystia Aji Raviy Bayu Setiaji Sri Wibawani Thomas Andrew Imanzaghi