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All Journal Journal of Software Engineering and Information System (SEIS) Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK)
Wulandari, Oca Meilika
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering

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Perbandingan Algoritma Naive Bayes dan SVM dalam Analisis Sentimen Twitter terhadap Isu Ijazah Jokowi Palsu Wulandari, Oca Meilika; Maulana, Irvan; Syamsudin, Fatih; Waluyo, Retno
Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK) Vol 4 No 1 (2025): Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK)
Publisher : STMIK Amika Soppeng

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70247/jumistik.v4i1.145

Abstract

Media sosial, khususnya Twitter, telah berkembang menjadi forum publik yang dinamis untuk membahas berbagai isu sosial dan politik. Salah satu topik yang banyak diperdebatkan adalah dugaan ijazah palsu milik mantan Presiden Joko Widodo. Penelitian ini membandingkan kinerja dua algoritma klasifikasi, yaitu Support Vector Machine dan Naïve Bayes, dalam menganalisis sentimen pengguna Twitter terhadap isu dugaan ijazah palsu tersebut. Analisis dimulai dengan pengumpulan data menggunakan teknik crawling, dilanjutkan dengan proses pra-pemrosesan, pelabelan data, implementasi algoritma, dan evaluasi model. Dari total 3.055 komentar Twitter berbahasa Indonesia yang berkaitan dengan dugaan ijazah palsu Presiden Jokowi, diperoleh 1.453 komentar negatif, 942 komentar positif, dan 660 komentar netral. Hasil penelitian menunjukkan bahwa algoritma Naïve Bayes mencapai akurasi sebesar 65%, sementara Support Vector Machine menghasilkan akurasi yang lebih tinggi, yaitu 69,23%.
PERANCANGAN SISTEM INFORMASI POSYANDU BERBASIS WEBSITE SEBAGAI IMPLEMENTASI E-GOVERNMENT DESA MENGGUNAKAN DESIGN THINKING Firmani, Eka; Krisbiantoro, Dwi; Wulandari, Oca Meilika
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 6 No. 2 (2026)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v6i2.11521

Abstract

Posyandu as a community-based health service still faces problems in data management carried out manually using conventional books, causing data to be prone to loss, unintegrated, and limited access to health information for the community. This condition hinders the effectiveness of health services for toddlers and the elderly at the village level. This study aims to design and develop a website-based Smart Health Village information system as an implementation of e-government at the village level using the Design Thinking approach. The Design Thinking method is applied through five stages, namely Empathize, Define, Ideate, Prototype, and Test, which enables system development based on the actual needs of users. The system development involved three posyandu cadres and six residents as informants. The resulting system has three user roles, namely Admin, Village Apparatus, and Residents, with main features including toddler and elderly data management, health examination recording, posyandu activity scheduling, and reports that can be exported to PDF format. System testing was carried out using the Black Box Testing method with twelve testing scenarios which showed that all functional features of the system ran as expected. With this system, it is hoped that posyandu health services can potentially improve service efficiency digitally, accurately, and sustainably as a concrete manifestation of e-government implementation at the village level.
PERANCANGAN WEBSITE MONITORING POSYANDU UNTUK DETEKSI DINI STUNTING DAN RESIKO PENYAKIT LANSIA Wulandari, Oca Meilika; Firmani, Eka; Krisbiantoro, Dwi
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 6 No. 2 (2026)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v6i2.11531

Abstract

Healthcare service management at the village level is often hindered by manual and non-integrated recording systems, which limit early detection of health risks. This study aims to design a SmartHealth Village website using the Next.js framework to digitally monitor the health status of toddlers and the elderly, employing a Research and Development (R&D) method with a Waterfall model, conducted at Posyandu Desa Teluk, Purwokerto Selatan, Banyumas. Data were collected through observation and interviews with 9 informants consisting of 3 Posyandu cadres, 3 residents, and 3 village officials. The system automates the calculation of toddlers' nutritional status (stunting) based on WHO Z-Score standards and classifies hypertension and diabetes risk in the elderly based on JNC VII and Kemenkes RI (2020) guidelines. The website provides multi-level access for admin cadres, residents, and village officials, supported by a chatbot feature as a health education assistant. Functional testing using black-box testing showed that all 11 main features ran successfully. Performance evaluation indicated that data search time decreased from ±5–10 minutes to ±2–5 seconds, report generation time decreased from ±2–3 days to ±10–15 seconds, and calculation error rate decreased from ±10% to less than 1%, demonstrating that this platform is an efficient solution for transforming village-level healthcare management into a more transparent and responsive system.
Co-Authors Dwi Krisbiantoro, Dwi Firmani, Eka Maulana, Irvan Syamsudin, Fatih Waluyo, Retno