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All Journal International Journal of Evaluation and Research in Education (IJERE) Jupiter Jurnal Simetris Jurnal Informatika JSI: Jurnal Sistem Informasi (E-Journal) International Conference on Engineering and Technology Development (ICETD) Jurnal Ilmu Komputer dan Agri-Informatika Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Jurnal Informatika Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) Scientific Journal of Informatics Seminar Nasional Informatika (SEMNASIF) Sisforma: Journal of Information Systems Jurnas Nasional Teknologi dan Sistem Informasi Journal of Information Systems Engineering and Business Intelligence Register: Jurnal Ilmiah Teknologi Sistem Informasi KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) International Journal of Artificial Intelligence Research Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Sains dan Informatika Jurnal Ilmiah Matrik JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Sisfokom (Sistem Informasi dan Komputer) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Mantik Journal of Information Systems and Informatics Jurnal Abdi Insani Jurnal Teknologi Informatika dan Komputer Journal of Software Engineering Ampera Djtechno: Jurnal Teknologi Informasi Jurnal Informatika: Jurnal Pengembangan IT Indonesia Bergerak: Jurnal Hasil Kegiatan Pengabdian Masyarakat
Usman Ependi
Universitas Bina Darma
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Public Health Other

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Sentiment Analysis of Urban Opinions on COVID-19 Handling in Brunei Darussalam Using Lexicon Weighting and Machine Learning Algorithms Usman Ependi; Wahyu Caesarendra
SISFORMA Vol 11, No 1: May 2024
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/sisforma.v11i1.11957

Abstract

Crisis management of Covid-19 is closely related to how government provides policy measures and monitors the health conditions of residents and others. Residents will provide feedback (opinions) for any services provided by the government. The main issue in this area is understanding residents' opinions to become a source of information for sentiment in public policy. This study aims to analyze sentiment on crisis management of covid-19 in Brunei Darussalam. Lexicon weight and machine learning classifiers (random forest, k-nearest neighbors, naive Bayes, and decision trees) are used for handling this issue. The data used in this study comes from resident opinions on the BruHealth application, which is part of Brunei Darussalam Government Services. Based on the experimental results, the sentiment of crisis management of Covid-19 is positive. Lexicon weight is used as a basis for data labelling in machine learning classification. Classification results using random forest, k-nearest neighbors, naive Bayes, and decision trees get a significant accuracy of 83,8%, 73,7%, 55%, and 84,2%, respectively.
Sentiment Analysis of Covid-19 Handling in Indonesia Based on Lexicon Weighting Ependi, Usman; Aliya, Sabeli; Wibowo, Ari
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 12, No 1 (2023): MARET
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v12i1.1615

Abstract

Covid-19, a contagious disease, has been classified as a global pandemic. Indonesia, as one of the ASEAN countries, has taken various measures to combat the spread of this disease. One of the government's initiatives to tackle the pandemic is the PeduliLindungi application, through which the public provides feedback on government policies. However, analyzing and comprehending public opinions in a non-subjective manner poses a challenge in objectively evaluating government services. This study aims to address this issue by conducting a sentiment analysis of Covid-19 handling in Indonesia, using a lexicon-based weighting system that includes SentiStrengthID and InSet. The decision tree (DT) machine learning algorithm is utilized to evaluate the polarity results provided by the lexicon. The results indicate that the sentiment polarity towards Covid-19 handling in Indonesia is negative based on both SentiStrengthID and InSet weights. Evaluating machine learning performance with the SentiStrengthID lexicon, the DT-entropy and DT-gini models achieved an accuracy of 82% and 83%, respectively. Similarly, evaluating machine learning performance with the InSet lexicon, the DT-entropy and DT-gini models achieved an accuracy of 81% and 82%, respectively.
Machine Learning Models for DDoS Detection in Software-Defined Networking: A Comparative Analysis Ferdiansyah, Ferdiansyah; Antoni, Darius; Valdo, Muhammad; Mikko, Mikko; Mukmin, Chairul; Ependi, Usman
Journal of Information System and Informatics Vol 6 No 3 (2024): September
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i3.864

Abstract

In today's digital age, Software-Defined Networking (SDN) has become a pivotal technology that improves network control and flexibility. Despite its advantages, the centralized nature of SDN also makes it susceptible to threats such as Distributed Denial of Service (DDoS) attacks. This study compares the effectiveness of three machine learning models Random Forest, Naive Bayes, and Linear Support Vector Classification (LinearSVC) using the 'DDoS SDN dataset' from Kaggle, which contains 104,345 records and 23 features. An equal 70/30 ratio was used on model. The models were then assessed using measures such as accuracy, precision, recall, and F1-score, and ROC curves. Among the models, Random Forest outperformed the others with a 97% accuracy, precision values of 1.00 (benign traffic) and 0.94 (malicious traffic), and an ROC AUC score of 1.00. In contrast, Naive Bayes and LinearSVC recorded lower accuracies of 63% and 66%, respectively. These findings underscore Random Forest's effectiveness in detecting DDoS attacks within SDN environments.
The Performance Analysis of SIKITO LLDIKTI Region II System using COBIT 2019 Framework: A Case Study Wulandari, Intan Fitriana; Herdiansyah, Muhammad Izman; Kunang, Yesi Novaria; Cholil, Widya; Ariandi, Muhamad; Ependi, Usman
International Journal of Artificial Intelligence Research Vol 7, No 2 (2023): December 2023
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i2.832

Abstract

In today's organizational landscape, information technology plays a critical role in supporting ongoing activities. Therefore, it is essential to conduct an analysis to determine the advantages and disadvantages of IT implementation. This research focuses on the Higher Education Service Institute (LLDIKTI) Region II, a government agency responsible for improving the quality of higher education in its working area. LLDIKTI Region II uses an information technology system that aligns with the Institute's vision and mission. However, the governance level of the Online Functional Position Information System known as SIKITO has never been assessed, highlighting the need for a maturity framework to measure SIKITO's level and align it with LLDIKTI's vision and mission goals. COBIT 2019 is a framework that aligns with the vision and mission of LLDIKTI and demonstrates how each stakeholder's differences affect the use of information technology based on the maturity level of the implemented system. This research applied the COBIT 2019 framework in LLDIKTI Region II, utilizing the APO07, BAI08, and MEA03 domains. The results indicate that SIKITO's maturity level is below the expected value of -2.33, indicating a need for further development. This research contributes to the field by providing insights into the importance of aligning IT governance with an organization's vision and mission, and the role of maturity frameworks such as COBIT 2019 in achieving this alignment.
Pengembangan, Implementasi, dan Pelatihan Penggunaan Website Absensi Prakerin untuk Meningkatkan Efisiensi dan Efektivitas Pengelolaan Absensi di SMK Assanadiyah Palembang Febriyanti Panjaitan; Usman Ependi; Ari Muzakir; Hamim Tezar Rizandi; Muhammad Ridho Kurniawan
Indonesia Bergerak : Jurnal Hasil Kegiatan Pengabdian Masyarakat Vol. 2 No. 3 (2024): Juli : Jurnal Hasil Kegiatan Pengabdian Masyarakat
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/inber.v2i3.403

Abstract

This project aims to develop and implement an attendance website for Prakerin (Industrial Work Practice) at SMK Assanadiyah Palembang to improve the efficiency and effectiveness of managing student attendance during the Prakerin program. The use of information technology is expected to facilitate monitoring. The methods used include needs analysis, system design and development, implementation and testing, training and guidance, and evaluation and improvement. The results of this project show that key features such as the attendance dashboard, daily reports, and attendance recapitulation facilitate teachers and supervisors in monitoring student attendance. Additionally, more structured student data management and comprehensive reports and analysis enable better evaluation of the Prakerin program. Evaluation of training performance through pretest and posttest with five users representing teachers, students, and field supervisors showed a significant improvement in understanding and skills in using the website, with an average pretest score of 70.78% and an average posttest score of 89.08%. The training and technical support provided ensure that users can utilize the system optimally. In conclusion, the implementation of this Prakerin attendance website has successfully improved the efficiency and effectiveness of educational management at SMK Assanadiyah Palembang.
Advanced Techniques for Anomaly Detection in Blockchain: Leveraging Clustering and Machine Learning Ferdiansyah, Ferdiansyah; Ependi, Usman; Tasmi, Tasmi; Haikal, Muhammad; Mikko, Mikko
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.1047

Abstract

Blockchain technology has revolutionized data security and transaction transparency across various industries. However, the increasing complexity of blockchain networks has led to anomalies that require further investigation. This study aims to analyze anomalies in blockchain systems using machine learning approaches. Various anomaly detection techniques, including supervised and unsupervised methods, are evaluated for their effectiveness in identifying irregularities. The results indicate that machine learning models can detect anomalies with high accuracy, providing insights into potential threats and system vulnerabilities. The findings of this research contribute to improving blockchain security and developing more robust monitoring systems.
Enhancing Usability of the Qualitiva Educational Applications: A Mixed-Methods Study using SUS and Heuristic Evaluation. Berlianti, Marutha; Ependi, Usman; Novaria Kunang, Yesi; Haidar Mirza, A.
Jurnal Ilmu Komputer dan Agri-Informatika Vol. 12 No. 1 (2025)
Publisher : Sekolah Sains Data, Matematika, dan Informatika. Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jika.12.1.79-90

Abstract

Studi ini mengevaluasi kegunaan aplikasi Qualitiva menggunakan metode System Usability Scale (SUS) dan Heuristic Evaluation (HE). Tujuan dari penelitian ini adalah untuk mengidentifikasi kekuatan dan kelemahan aplikasi, serta memberikan rekomendasi perbaikan. Pendekatan kuantitatif digunakan dengan mendistribusikan kuesioner SUS kepada 100 responden, sementara pendekatan kualitatif melibatkan evaluasi heuristik oleh dua ahli usability. Hasil menunjukkan skor rata-rata SUS sebesar 69,00 (Grade C), yang menunjukkan penerimaan pengguna secara umum namun menyoroti beberapa area yang perlu perbaikan dalam kecepatan, desain, keamanan data, dan efisiensi sistem. Evaluasi heuristik mengidentifikasi masalah seperti kejelasan status sistem, penggunaan terminologi yang ramah pengguna, desain antarmuka, dan fitur pencegahan kesalahan. Penelitian ini meningkatkan pemahaman tentang kegunaan dalam aplikasi pendidikan dan memberikan rekomendasi yang dapat ditindaklanjuti untuk meningkatkan pengalaman pengguna, termasuk mengoptimalkan kecepatan, memperbaiki antarmuka, dan meningkatkan panduan pengguna.
SYSTEM USABILITY SCALE VS HEURISTIC EVALUATION: A REVIEW Ependi, Usman; Kurniawan, Tri Basuki; Panjaitan, Febriyanti
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 10, No 1 (2019): JURNAL SIMETRIS VOLUME 10 NO 1 TAHUN 2019
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (5004.496 KB) | DOI: 10.24176/simet.v10i1.2725

Abstract

Usability merupakan salah satu bidang ilmu untuk menganalisa atau menguji tingkat kemudahan penggunaan perangkat lunak.  Usability atau yang sering dikenal dengan kebergunaan adalah teknik pengujian atau pengukuran aplikasi perangkat lunak yang dilihat dari lima aspek yaitu  learnability, efficiency, memorability, errors dan satisfaction. Untuk melakukan analisa atau pengujian usability dapat dilakukan dengan pendekatan heuristic evaluation (HE) dan system usability scale (SUS). Heuristic evaluation (HE) merupakan pengujian dengan cara melibatkan ahli dalam proses pengerjaannya dan system usability scale (SUS) merupakan pengujian dengan cara melibatkan pengguna akhir (end user) dalam proses pengerjaannya. Untuk itu dalam penelitian dilakukan pengkajian antara heuristic evaluation (HE) dan system usability scale (SUS). Dari hasil kajian didapat bahwa heuristic evaluation (HE) dapat dilakukan bersamaan dengan teknik pengujian lain namun membutuhkan biaya yang besar serta proses pengujian yang lebih mudah. Sedangkan system usability scale (SUS) proses pengujian dan perhitungan lebih rumit namun dapat dilakukan dengan jumlah sampel yang sedikit.
ANALISIS TINGKAT KEMATANGAN DOMAIN LAYANAN SISTEM PEMERINTAHAN BERBASIS ELEKTRONIK MENGGUNAKAN E-GOVERNMENT MATURITY MODEL PADA PEMERINTAH KOTA PALEMBANG pratama, rianda; Herdiansyah, Muhammad Izman; Sutabri, Tata; Amin, Zaid; Ependi, Usman
Djtechno: Jurnal Teknologi Informasi Vol 6, No 1 (2025): April
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v6i1.6198

Abstract

Pemerintah negara Indonesia melakukan percepatan pembangunan pemerintahan yang berbasis elektronik. Pada tahun 2018 Presiden Republik Indonesia mengeluarkan peraturan yang dituangkan ke dalam Perpres Nomor 95 Tahun 2018 tentang sistem pemerintahan berbasis elektronik. SPBE terdiri dari 4 domain utama yaitu domain kebijakan, tata kelola, manajemen dan layanan. Berdasarkan dari nilai bobot domain, domain layanan merupakan domain yang memiliki bobot nilai tertinggi yaitu 45,50%. Guna mendukung percepatan SPBE perlunya dilakukan penilaian tingkat kematangan domain layanan SPBE. Saat ini di kota Palembang belum melakukan penilaian secara sistematis terhadap nilai domain layanan SPBE maka dari itu perlu dilakukan penilaian secara sistematis menggunakan  framework SPBE berdasarkan Permenpan-RB Nomor 59 Tahun 2020. Domain layanan SPBE terbagi menjadi dua aspek yaitu aspek layanan administrasi pemerintahan berbasis elekronik yang terdiri dari 10 indikator penilaian dan layanan publik berbasis elektronik yang memiliki 6 indikator penilaian. Hasil penilaian 16 Indikator domain layanan tersebut menghasilkan nilai indeks aspek layanan administrasi pemerintahan sebesar 3,45 dan indeks aspek layanan publik sebesar 4,0. Berdasarkan hasil nilai indeks aspek tersebut dapat diketahui capaian nilai indeks domain layanan sistem pemerintahan berbasis elektronik pada pemerintah kota Palembang yaitu 3,67 dengan predikat Sangat Baik
Pengembangan Aplikasi Mobile Travel Guide pada Provinsi Sumatera Selatan Ependi, Usman; Panjaitan, Febriyanti; Syakti, Firamon
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 3: Juni 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020732107

Abstract

Sektor pariwisata adalah komponen penting bagi sebuah negara dalam meningkatkan pendapatan negara. Dalam mengelolah sektor pariwisata salah satu faktor penting adalah penyediaan informasi terutama petunjuk perjalanan wisata terutama tujuan wisata dan hal yang terkaitan dengannya. Di Indonesia terutama di Provinsi Sumatra Selatan berbagai upaya telah dilakukan pemerintah dalam menyediakan informasi pariwisata diantaranya melalui iklan, koran dan televisi. Namun penggunaan media tersebut belum cukup efektif yang dibebabkan tidak dapat diakses langsung (real time) oleh wisatawan. Selain itu, media ini memiliki keterbatasan dalam menjangkau wisatawan karena kegiatan pariwisata yang dilakukan wisatawan. Untuk itu didalam penelitian ini dilakukan pengembangan aplikasi mobile yang dikhususkan untuk penyediaan informasi wisata yang ada di Provinsi Sumatra Selatan. Proses pengembangan aplikasi mobile yang digunakan adalah Mobile D, dengan tahapan explore, initialize, productionize, stabilize, system test dan fix. Informasi yang tersedia didalam aplikasi ini terdiri dari tujuan wisata dan hal yang terkaitan dengannya. Dengan demikian wisatawan dapat dengan mudah mencari informasi berkaitan dengan tujuan wisata dan yang terkait dengan pariwisata yang ada di Provinsi Sumatra Selatan yang dibuktikan dengan hasil pengujian dengan istrumen heuristic evaluation yang mendapatkan nilai rerata 0.2 dan system usability scale mendapatkan nilai rerata 84.75. Nilai pengujian menunjukkan bawah aplikasi mobile yang dihasilkan tidak memiliki masalah usability dan dapat diterima oleh pengguna. Sesuai kondisi tersebut diharapkan wisatawan dapat dengan mudah dalam mencari informasi tentang parwisata dan hal terkait dengannya melalui perangkat smartphone yang mereka miliki.AbstractThe tourism sector is an important component for a country to increase its income. In managing the tourism sector, an important factor is to provide information on travel guides that include tourism destinations and matters related to travel. In Indonesia, especially in the South Sumatra Province, various efforts have been made to provide information to travelers, such as through advertising, pamphlets, newspapers, and television. However, these media are not effective because travelers cannot access them in real-time. Besides, these media have limitations in reaching tourists due to tourism activities. For this reason, in the research presented in this paper, the development of the mobile application as a tourism information media in the South Sumatra Province was carried out. The process of developing a mobile application used is Mobile D, with stages of exploring, initialize, production, stabilize, system test, and fix. The information available in this application consists of tourism destinations and matters related to travel. Therefore, travelers can easily search for a tourism destination and everything related to tourism, especially in South Sumatra Province based on testing results using heuristic evaluation that got average score 0.2 and using system usability scale that got average score 84.75. From the testing result of mobile application, the mobile application does not have usability problems and can be accepted by the user. According to these conditions, travelers are expected to easily find information about tourism and related matters through their smartphone devices. 
Co-Authors Abel Arisandi Ade Putra Ade Putra Ahmad, Nahdatul Akma Akma Ahmad, Nahdatul Antoni, Darius Ari Muzakir Ari Wibowo Arjun, Jennifer Aswadi, M Berlianti, Marutha Billan, Angel Caroline dedi irawan Edi Surya Negara Evi Yulianingsih Febriyanti Panjaitan Febriyanti Panjaitan Ferdiansyah Ferdiansyah Firamon Syakti Firamon Syakti, Firamon Fitri Purwaningtias Gege Ardiyansyah Haidar Mirza, A. Haidar Mirza, Ahmad Hamim Tezar Rizandi Heri Suroyo Hutrianto Irwansyah Irwansyah Khansa, Ainna Kisworo, Marsudi Wahyu Kurniawan, Tri Basuki M. Octa Prasetya Mikko, Mikko Muhammad Hafid Alfarisi Muhammad Haikal Muhammad Izman Herdiansyah Muhammad Ridho Kurniawan Mukmin, Chairul Novaria Kunang, Yesi Novifika, Seva Nurwijayanti Nyimas Sopiah Oktaviani, Nia Oktaviani, Nia Oktaviani, Nia pratama, rianda Purwaningtias, Fitri Qoriani Widayati Rhoel C. Cruz, Geoffrey Sabeli Aliya Seong Pek, Lim Suyanto Suyanto Suyanto Suyanto Syamilah Che Yob, Fatin Tata Sutabri Tri Basuki Kurniawan Valdo, Muhammad Wahyu Caesarendra Widya Cholil Wulandari, Intan Fitriana Yesi Novaria Kunang Yukos Pratama Zaid Amin, Zaid Zulkifli, Faiz