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All Journal JURNAL SISTEM INFORMASI BISNIS Jurnal Khatulistiwa Informatika Jurnal Penelitian Pendidikan IPA (JPPIPA) Insect (Informatics and Security) : Jurnal Teknik Informatika METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Inotera J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Ilmiah Mandala Education (JIME) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi J-SAKTI (Jurnal Sains Komputer dan Informatika) Decode: Jurnal Pendidikan Teknologi Informasi Jurnal Pengabdian Masyarakat Jurnal Ilmu Komputer dan Teknologi (IKOMTI) Journal of Advanced Health Informatics Research
Muntiari, Novita Ranti
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Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

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Air Bersih, Hidup Sehat : Edukasi Sanitasi Untuk Masyarakat Sehat di Kelurahan Selumit Pantai Kota Tarakan Muntiari, Novita Ranti; Fathul Khair Tabri; Syamsiah; Muhammad Aris; Muliady; Asma; Lily Herawati
Jurnal Pengabdian Masyarakat - PIMAS Vol. 5 No. 1 (2026): Februari
Publisher : LPPM Universitas Harapan Bangsa Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/pimas.v5i1.2111

Abstract

Access to safe water and adequate sanitation is a crucial factor in maintaining public health, particularly in coastal areas with high population density such as Selumit Pantai Subdistrict, Tarakan City. Various challenges, including environmental conditions, limited supporting infrastructure, and suboptimal sanitation practices among the community, have the potential to increase the risk of environment-related diseases. In response to these conditions, this Community Service activity was conducted as an educational effort through the provision of information and assistance related to clean water and sanitation. The activity involved resource persons from the Tarakan City Water Supply Company (PDAM) and Health Promotion lecturers, who delivered materials on water quality and utilization, clean and healthy living behaviors, and the prevention of environmental-based diseases. The implementation employed an interactive approach through lectures, discussions, and question-and-answer sessions to ensure the material was easily understood by the community. The objective of this activity was to improve community knowledge, awareness, and attitudes regarding the importance of proper clean water management and sanitation, thereby encouraging the sustainable adoption of healthy behaviors. Through synergy between practitioners and academics, this activity is expected to support improvements in the health status of coastal communities and contribute to health development in Tarakan City
Pengabdian Sebagai Dewan Juri Bidang Teknik Desain Laman Lomba Kompetensi Siswa (LKS) SMK Tingkat Provinsi Kalimantan Utara Tahun 2025 Novita Ranti Muntiari; Denis Prayogi
Jurnal Pengabdian Masyarakat - PIMAS Vol. 4 No. 4 (2025): November
Publisher : LPPM Universitas Harapan Bangsa Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/pimas.v4i4.2186

Abstract

Student Competency Competition is an annual competition between students at the vocational high school level according to the areas of expertise taught at participating vocational schools. This LKS is equivalent to the OSN (National Science Olympiad) held in junior high schools/high schools. This activity is one part of a series of selections to get the best students from all over Indonesia who will be further guided by their respective competition field teams and will be included in international level expertise competitions. The purpose of the community service activities carried out through this LKS competition activity is for the Community Service Team to contribute as a jury in the Page Design Technique competition. The role of the jury is very important as the determinant of the final results of the provincial level LKS, so that the best students can represent North Kalimantan Province to compete at the national level. The final result of this community service activity is an official decision from the jury on the competition assessment process in determining the winner of the 2025 North Kalimantan Provincial Level SMK LKS.
Perbandingan Analisis Sentimen Komentar Mahasiswa Prodi Teknik Komputer Menggunakan Algoritma Decision Tree, Support Vector Machine (SVM), dan Random Forest Kharis Hudaiby Hanif; Muntiari, Novita Ranti; Harto, Dedy; Wiranata, Dimas Satrio
Insect (Informatics and Security): Jurnal Teknik Informatika Vol. 12 No. 01 (2026): Maret 2026
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/insect.v12i01.5144

Abstract

Penilaian terhadap kualitas pembelajaran melalui komentar mahasiswa menjadi salah satu elemen penting dalam evaluasi proses akademik di perguruan tinggi. Namun, komentar yang bersifat kualitatif sering kali sulit dianalisis secara manual dan cenderung memakan waktu. Penelitian ini dilakukan untuk mengembangkan model analisis sentimen yang mampu mengklasifikasikan komentar mahasiswa Program Studi Teknik Komputer secara lebih efisien dan akurat. Tiga algoritma pembelajaran mesin, yaitu Decision Tree, Random Forest, dan Support Vector Machine (SVM), digunakan untuk membandingkan kinerja klasifikasi. Data komentar terlebih dahulu diberi label secara manual dan diperkaya dengan sejumlah komentar negatif sintetis guna menyeimbangkan distribusi sentimen. Selanjutnya, data diolah menggunakan teknik Text Mining, TF-IDF untuk ekstraksi fitur, serta algoritma SMOTE untuk menangani ketidakseimbangan kelas. Pengujian dilakukan menggunakan skema train test split 70:30. Hasil penelitian menunjukkan bahwa ketiga model memiliki tingkat akurasi yang beragam: Decision Tree memperoleh akurasi 88,2%, Random Forest mencapai 92,7%, sedangkan SVM menjadi model dengan performa terbaik dengan akurasi 94,5%. Analisis confusion matrix dan kurva ROC mengonfirmasi bahwa SVM lebih konsisten dalam membedakan sentimen positif dan negatif. Temuan ini mengindikasikan bahwa pendekatan berbasis SVM dengan dukungan TF-IDF dan SMOTE sangat potensial untuk diterapkan sebagai alat otomatis dalam menilai sentimen mahasiswa, sehingga mampu membantu institusi dalam mengambil keputusan berbasis data secara lebih cepat dan objektif.
Co-Authors Abdul Fadlil Ana Sriekaningsih Andri Yogi Adyatma Prasetyo Arif Fadllullah Asma Asma Asma Bustomi, Iqbal Dedy Harto E, Ermin Ermin Ermin Fathul Khair Tabri Hanif, Kharis Hudaiby Haryansyah Herawati, Lily Indah Chairun Nisa Irgi Ahmad Fahrezi Khoirun Nisa Lily Herawati Muhammad Aris Muhammad Yusril Muliady Nur Sriyanti Prayogi, Denis Purwono, Purwono Putri Ananda Ramadhani Rajiansyah Rania Majdoubi Rosaleni Rejin Rusydi Umar Sunardi, Sunardi Syamsiah Tella, Fitriyani Wiranata, Dimas Satrio