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INDONESIA
Jurnal Ilmiah Informatika Komputer
Published by Universitas Gunadarma
ISSN : 08538638     EISSN : 20898045     DOI : http://dx.doi.org/10.35760/ik
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
This journal is published periodically three times a year, April, August, and December. It publishes a broad range of research articles on Information Technology and Communication, whether in Indonesian Language or English.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 306 Documents
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Implementasi Data Mining Naïve Bayes untuk Sistem Peringatan Dini Hasil Belajar Siswa Sekolah Dasar S, Adyatma Ramadhani; Hilda, Atiqah Meutia; Elly, Muhammad Jafar; Mintarsih, Nani
Jurnal Ilmiah Informatika Komputer Vol. 30 No. 3 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/ik.2025.v30i3.58

Abstract

This study aims to apply data mining techniques using the Naïve Bayes algorithm to classify student learning outcomes as an early warning system. The classification model was developed using 90 student score records and grouped into two categories, namely “Good” and “Poor”. The experimental results show that the Naïve Bayes model achieved 100% accuracy, precision, and recall. These findings indicate that the proposed model is capable of consistently classifying student learning outcomes and has the potential to serve as a decision support tool for teachers and school administrators.
Identifikasi Tingkat Kepatuhan Wajib Pajak Bumi dan Bangunan di Jakarta dengan Pendekatan Algoritma K-Means Umam, Muhammad Taufiqul; Basyah, Baby Lolita
Jurnal Ilmiah Informatika Komputer Vol. 30 No. 3 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/ik.2025.v30i3.59

Abstract

The Rural and Urban Land and Building Tax (PBB-P2) serves as a regional fiscal mechanism levied on the ownership, control, or utilization of property assets by both individuals and corporate entities. As a cornerstone of regional fiscal policy, PBB-P2 is instrumental in bolstering Local Own-Source Revenue (PAD). Given Jakarta's status as the nation’s administrative and commercial epicenter characterized by high population density and intense economic momentum, the city holds a strategic and vast potential for PBB-P2 collection. This study aims to categorize the compliance behavior of PBB-P2 taxpayers within the Jakarta region by utilizing the K-Means algorithm. The research methodology is guided by the Cross-Industry Standard Process for Data Mining (CRISP-DM) framework, which involves six systematic phases: business understanding, data understanding, data preparation, modeling, evaluation, and deployment. The dataset consists of 28,125 PBB-P2 taxpayer records collected from 2020 to 2024. The findings reveal that taxpayer compliance is classified into four distinct clusters. Cluster 0 indicates very high compliance, Cluster 1 reflects low compliance, Cluster 2 denotes moderate compliance, and Cluster 3 corresponds to high compliance. An average silhouette coefficient value of 0.742 demonstrates that the resulting clusters are well-defined, showing strong internal similarity and clear separation from one another.
Implementasi Algoritma AES-256 Berbasis Web untuk Pengamanan Dokumen Digital di CV. Karya Eksklusif Nusantara Naqiyah, Ainun; Hayati, Lilis Nur; Faradibah, Amaliah
Jurnal Ilmiah Informatika Komputer Vol. 30 No. 3 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/ik.2025.v30i3.60

Abstract

In the digital era, corporate document security has become a major challenge due to the increasing risk of data breaches and cyberattacks. CV. Karya Eksklusif Nusantara, a company that provides goods and services, still stores important documents in digital formats such as .pdf, .docx, and .xlsx without a special protection system, making them vulnerable to illegal access or data corruption. This study aims to implement the AES-256 algorithm in CBC mode on a web-based system to encrypt and decrypt digital documents, as well as to test its performance based on different file sizes. This research uses the Waterfall method, which includes stages of data collection through interviews and literature review, system requirement analysis, design using UML, implementation with the Laravel framework, and black-box testing. The result of the study is a web-based application capable of securely encrypting and decrypting digital documents. Performance testing shows that the encryption and decryption operations are very fast, with an average encryption time of 0.2924 seconds and a decryption time of 0.3309 seconds, while functional testing ensures that all functions work according to requirements.
Rancang Bangun Aplikasi Walking Log dalam Penghitungan Jumlah Langkah untuk Pembakaran Kalori Tubuh Raharja, Wahyu Kusuma; Azhari, M. Fajar; Alfitra, Zidan
Jurnal Ilmiah Informatika Komputer Vol. 30 No. 3 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/ik.2025.v30i3.68

Abstract

Walking is a light physical activity that has a positive impact on health. A pedometer can be used to count the number of steps taken while walking. However, these devices usually have limited features and seem impractical to use. Current mobile technology developments, especially smartphones, can be used as an alternative to using a pedometer. The Walking Log application was created as an application to count the number of steps walked and the body's calorie burn. This application was created through several stages including planning, design, coding, and testing. In the planning stage, information will be collected regarding the number of steps, calorie burn, the sensors used, and the process of creating an Android application. At the design stage, a navigation structure, display design and file structure for storing historical data will be created.. In the coding stage, the application will be created using Android Studio. This research produced an Android application file named walking-log.apk with a size of 3,023 kilobytes. The walking log application consists of six menus: the main screen, track menu, settings menu, history menu, and about menu. Based on the results of the trial process, the application can run well on several devices that have met the minimum requirements to be able to run this application, namely Android smartphones with a minimum Android operating system. In the accuracy and error percentage tests, this application has an error percentage of ±2.12%. This error value shows that the application that has been built has good accuracy
Pengembangan Aplikasi Berbasis Web untuk Skrining Tingkat Depresi Ibu Pasca Melahirkan Menggunakan Skala EPDS dan PHQ-9 Pangestu, Primanita; Widowati, Henny; Pernadi, Dody
Jurnal Ilmiah Informatika Komputer Vol. 30 No. 3 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/ik.2025.v30i3.69

Abstract

Anxiety and depression are mental health issues that are common in mothers during pregnancy and after childbirth. The prevalence of anxiety and depression among pregnant women is 12.6%, and among postpartum women, it is 10.1%. However, mental health screening is still not an integral part of comprehensive antenatal or postnatal care. This research aims to develop a website-based application for screening postpartum maternal depression levels using the EPDS and PHQ-9 scales. The method used involves application development using the PHP programming language and implementing the EPDS and PHQ-9 scales as assessment instruments. The research findings are a screening application that can help postpartum mothers self-assess their level of depression. The website has been successfully implemented and can be accessed online via the link https://postnatalcare.my.id/. The application is expected to serve as a screening tool for determining the level of postpartum depression in mothers and to assist midwives in monitoring patients' mental health conditions, enabling them to provide appropriate care.
Segmentasi Konsumen E-Commerce Menggunakan Algoritma K-Means Berbasis Dashboard Interaktif Rasyid, Aru Chevy; Fauziah
Jurnal Ilmiah Informatika Komputer Vol. 30 No. 3 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/ik.2025.v30i3.70

Abstract

The rapid expansion of the e-commerce industry in Indonesia has led to a substantial increase in consumer behavioral data. This condition highlights the need for analytical approaches capable of identifying transaction patterns and supporting meaningful customer segmentation. This study aims to segment e-commerce customers using the K-Means clustering method and to present the results through an interactive dashboard. The research process includes data cleaning and standardization, followed by the construction of derived variables such as average basket, spend per month, and paylater share to represent customer transaction behavior. The optimal number of clusters was determined by evaluating several metrics, including the Sum of Squared Errors (SSE) graph, Silhouette Score, Calinski–Harabasz Index, and Davies–Bouldin Index. Although the custest Silhouette Score and Calinski–Harabasz Index were obtained at k = 2, the overall evaluation indicated that k = 3 produced a more balanced and interpretable clustering structure. Consequently, three customer segments were identified: customers with moderate shopping activity, high-value customers with a tendency to use Paylater services, and customers with high transaction frequency but relatively low purchase value. The analytical results were subsequently implemented in a Streamlit-based interactive dashboard to support data-driven decision making.
Smart Agriculture Prototype : An IoT - Controlled System for Lightning and Nutrient Management in Dragon Fruit Farming Marliza, Nana; Hasim, Nursabilah; Arifatno, Deny Rochman
Jurnal Ilmiah Informatika Komputer Vol. 30 No. 3 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/ik.2025.v30i3.87

Abstract

Perkembangan teknologi mendorong sektor pertanian untuk beradaptasi menuju sistem yang lebih cerdas, efisien, dan terintegrasi. Buah naga salah satu komoditas bernilai ekonomi tinggi, membutuhkan pengelolaan intensitas cahaya, kelembapan dan pemberian nutrisi secara teratur agar dapat tumbuh optimal. Penelitian ini merancang prototipe sistem otomatis berbasis Internet of Things (IoT) yang berfungsi mengendalikan penerangan dan pemberian nutrisi. Sistem dikembangkan menggunakan mikrokontroler ESP32-S3 yang terhubung dengan sensor BH1750 untuk pengukuran intensitas cahaya serta modul RTC DS3231 untuk penjadwalan pemberian nutrisi. Seluruh komponen dikendalikan melalui relay dan dapat dipantau secara real-time menggunakan Telegram Bot. Hasil pengujian menunjukkan bahwa lampu otomatis menyala pada intensitas cahaya 26,08 lux dan mati pada 265,60 lux, sedangkan pompa nutrisi bekerja otomatis setiap dua hari sekali pada pukul 09.14 selama 5 detik. Data pemantauan dan status perangkat berhasil dikirim secara real-time melalui Telegram, menunjukkan bahwa sistem ini efektif dalam meningkatkan efisiensi dan akurasi perawatan tanaman buah naga.
A Secure Geotagging Authentication Mechanism Using EXIF Metadata for Digital Public Works Complaint Platforms Wahyudi, Yasyfa Xena Arleyda; Hayati, Lilis Nur; Mubarak, Syahrul
Jurnal Ilmiah Informatika Komputer Vol. 30 No. 2 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/ik.2025.v30i2.14667

Abstract

Sistem pengaduan publik di lembaga pemerintah daerah sering menghadapi tantangan seperti laporan yang tidak valid, proses verifikasi manual yang lambat, dan ketiadaan integrasi lokasi pelapor. Untuk mengatasi masalah tersebut, studi ini mengembangkan sistem informasi pengaduan publik berbasis web untuk Kantor PUPR Kota Baubau dengan menerapkan mekanisme validasi otomatis menggunakan metadata EXIF yang tertanam dalam foto pengaduan. Sistem ini dikembangkan menggunakan pendekatan Waterfall yang memungkinkan proses perancangan berjalan terstruktur dan terdokumentasi dengan baik. Fitur utamanya mencakup validasi otomatis lokasi dan waktu pengambilan foto, penolakan laporan tidak valid, deteksi format dan ukuran file, serta antarmuka responsif tanpa kebutuhan login. Setiap pengaduan yang berhasil dikirimkan juga akan otomatis masuk ke email petugas terkait untuk mempercepat tindak lanjut. Hasil pengujian fungsional menggunakan metode black box menunjukkan seluruh fitur berjalan sesuai spesifikasi, sementara uji beta menghasilkan skor rata-rata 3,43 dan indeks kepuasan sebesar 85,75% yang tergolong Sangat Baik. Temuan ini menunjukkan bahwa sistem mampu menyaring laporan tidak relevan, mempercepat verifikasi, meningkatkan keakuratan data, serta mendukung akses publik melalui perangkat seluler dan desktop.
Apa yang Mendorong Pengguna Untuk Mengadopsi Centralized Exchange (CEX)? Tinjauan Literatur Sistematis Menggunakan Metode PRISMA Steven, Liauwnad; Lisana, Lisana
Jurnal Ilmiah Informatika Komputer Vol. 30 No. 2 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/ik.2025.v30i2.14639

Abstract

Centralized Exchanges (CEX) are intermediaries managed by centralized entities, offering a secure and user-friendly platform for cryptocurrency trading. Despite the rapid adoption of CEXs, particularly in Indonesia a systematic understanding of the factors influencing users’ intention to use these platforms remains limited. This study conducts a Systematic Literature Review (SLR) to identify, classify, and analyze the behavioural intention factors toward CEX usage from 2015 to 2025. Utilizing the PRISMA 2020 framework, the review integrates articles sourced from Scopus, PubMed, and Web of Science using a validated combination of keywords. A total of 27 relevant studies were identified after applying inclusion and exclusion criteria. The analysis reveals a growing body of research interest starting from 2018 and keep growing until now, with a concentration of studies in Asia, particularly in China and India. Most studies apply established models such as Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT), and Theory of Planned Behaviour (TPB). This systematic review identified that the predominant factors explored across studies are risk perception, trust, awareness, ease of use, and users' attitudes. However, research gaps remain in areas such as emotional experience, social influence, and regulatory context across various geographical regions. This literature review provides a comprehensive mapping of current research distributions and proposes directions for future exploration in the domain of centralized cryptocurrency exchanges
Analisis Faktor- Faktor Penentu Efektifitas Pemanfaatan Integrasi Meta AI Dalam Sosial Media Whatsapp: Pendekatan Expectation Confirmation Kaway, Timoti James; Juita, Ratna; Inan, Dedi I.
Jurnal Ilmiah Informatika Komputer Vol. 30 No. 2 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/ik.2025.v30i2.14558

Abstract

Penelitian ini mengkaji faktor-faktor yang berkontribusi terhadap integrasi yang efektif dari teknologi Generative Artificial Intelligence (GenAI) ke dalam penyampaian pesan di media sosial. Meskipun pemanfaatan AI dalam komunikasi digital semakin berkembang, dan banyak digunakan dalam komunikasi digital, kajian yang membahas persepsi pengguna dan faktor-faktor yang mendukung integrasi yang efektif ke dalam pesan media sosial, khususnya melalui pendekatan Konfirmasi Harapan, masih jarang ditemukan. Penelitian ini bertujuan mengidentifikasi faktor-faktor kunci yang mempengaruhi keberlanjutan penggunaan GenAI dalam strategi komunikasi media sosial Meta (Instagram, WhatsApp, Messenger) dan menguji hubungan antar variabel Expectation Confirmation Theory (ECT) yang diperluas. Penggunaan pendekatan kuantitatif berbasis ECT, data dikumpulkan melalui survei daring terhadap 131 responden dan dianalisis menggunakan Partial Least Squares Structural Equation Modeling (PLS-SEM). Hasil menunjukkan bahwa Continuance intention memiliki koefisien determinasi tertinggi (R² = 0,464). Perceived Usefulness (R² = 0,41; p < 0,001) dan Satisfaction (R² = 0,38; p < 0,001) berpengaruh langsung dan signifikan terhadap continuance intention, diikuti Perceived Enjoyment (R² = 0,33; p < 0,01) dan Perceived Ease of Use (R² = 0,27; p < 0,05). Temuan ini menekankan pentingnya kesesuaian antara kinerja GenAI dan harapan pengguna dalam menciptakan pengalaman komunikasi digital yang bernilai. Studi ini memberikan wawasan strategis bagi praktisi komunikasi dan pengembang AI untuk memperkuat adopsi teknologi GenAI di ranah media sosial.

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