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Sistem Pendukung Keputusan Pemilihan Kamar Kost Sekitar Universitas Negeri Manado Berbasis Web Dengan Menggunakan Metode Topsis Andry Wilson Siahaan; Quido Conferti Kainde; Efraim Moningkey
Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Vol. 6 No. 4 (2026): EduTIK : Agustus 2026
Publisher : Jurusan PTIK Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67142/edutik.v6i4.593

Abstract

ABSTRAK  Kebutuhan mahasiswa akan tempat tinggal sementara di sekitar Universitas Negeri Manado terus naik seiring bertambahnya jumlah mahasiswa baru tiap tahunnya. Banyaknya pilihan kamar kost yang punya karakteristik beda-beda sering bikin calon penghuni bingung menentukan mana yang cocok dengan kebutuhan dan preferensi mereka. Penelitian ini dibuat untuk merancang dan membangun Sistem Pendukung Keputusan (SPK) pemilihan kamar kost berbasis web dengan memakai metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Metode pengembangan sistemnya memakai Waterfall, yang jalurnya lewat analisis kebutuhan, perancangan, implementasi, pengujian, lalu pemeliharaan sistem. Data penelitian dikumpulkan lewat observasi, wawancara, studi pustaka, dan dokumentasi. Pengambilan keputusan didasarkan pada empat kriteria utama: harga, fasilitas, kebersihan, serta keamanan. TOPSIS dipakai buat menentukan peringkat alternatif kamar kost dengan menghitung jarak ke solusi ideal positif dan jarak dari solusi ideal negatif. Hasil penelitian memperlihatkan kalau sistem yang dibangun bisa mengelola data kost, data kriteria, bobot penilaian, dan kasih rekomendasi kost secara terstruktur serta objektif. Pengujian memakai Black Box Testing menunjukkan semua fungsi sistem berjalan sesuai kebutuhan pengguna. Jadi, sistem ini membantu pengguna mendapatkan rekomendasi kamar kost yang lebih tepat, efektif, dan sesuai kriteria yang sudah ditentukan, sehingga keputusan bisa diambil lebih cepat dan akurat.  ABSTRACT  The demand for temporary student housing near Manado State University continues to rise alongside the annual increase in the number of new students. The wide variety of available boarding rooms—each with distinct characteristics—often leaves prospective tenants unsure about which option best suits their needs and preferences. This study aims to design and develop a web-based Decision Support System (DSS) for selecting boarding rooms, utilizing the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The system development follows the Waterfall model, comprising stages of requirements analysis, design, implementation, testing, and maintenance. Research data were gathered through observation, interviews, literature reviews, and documentation. Decision-making is based on four primary criteria: price, facilities, cleanliness, and security. TOPSIS is employed to rank boarding room alternatives by calculating their distances from both the positive ideal solution and the negative ideal solution. The results demonstrate that the developed system can effectively manage boarding room data, criteria, and assessment weights, while providing recommendations in a structured and objective manner. Black Box Testing confirms that all system functions operate in accordance with user requirements. Consequently, the system assists users in obtaining accurate and effective boarding room recommendations based on predefined criteria, thereby facilitating faster and more precise decision-making.
Analisis Dan Prediksi Tren Penyaluran Dana Program Indonesia Pintar Di Sulawesi Utara Menggunakan Algoritma Prophet Friska Regina Maralantang; Gladly Caren Rorimpandey; Efraim R. S. Moningkey
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Program Indonesia Pintar (PIP) merupakan program bantuan pendidikan yang ditujukan untuk mendukung akses pendidikan bagi peserta didik dari keluarga kurang mampu. Dalam pelaksanaannya, pemantauan penyaluran dana PIP di Provinsi Sulawesi Utara masih dilakukan melalui laporan administratif sehingga belum didukung analisis prediktif yang terstruktur untuk mengidentifikasi pola dan kecenderungan penyaluran dana. Penelitian ini bertujuan menganalisis pola historis penyaluran dana PIP dan mengembangkan model prediksi menggunakan algoritma Prophet. Data yang digunakan berupa laporan penyaluran dana PIP di Provinsi Sulawesi Utara periode 2018-2024 yang mencakup jumlah siswa penerima dan dana yang disalurkan pada jenjang SD, SMP, SMA, dan SMK. Tahapan penelitian meliputi pengumpulan data, preprocessing, analisis dan visualisasi, pengembangan model Prophet, evaluasi, serta implementasi hasil dalam dashboard. Model Prophet menggunakan komponen tren, musiman, dan hari khusus dengan prediksi untuk periode 2025-2029. Evaluasi model menggunakan Root Mean Square Error (RMSE) dan Mean Absolute Error (MAE). Hasil penelitian menunjukkan RMSE sebesar Rp28.198.053.446,10 dan MAE sebesar Rp19.541.719.039,70. Model menghasilkan proyeksi penyaluran dana yang relatif stabil dengan kecenderungan meningkat secara bertahap, sedangkan interval prediksi semakin melebar pada 2028-2029. Hasil penelitian menunjukkan bahwa algoritma Prophet dapat digunakan untuk membantu analisis tren dan penyusunan proyeksi penyaluran dana PIP sebagai informasi pendukung perencanaan anggaran pendidikan.
Structural Similarity Analysis of Business Processes in BAWASLU BPM Using the Jaccard Method Nathania Piri; Irene R H T Tangkawarow; Efraim Ronald S Moningkey
Journal of Vocational, Informatics and Computer Education Vol 4, No 3 (2026): September 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/voice.v4i3.880

Abstract

Purpose – Business Process Management is essential for standardizing complex procedures in public institutions such as the General Election Supervisory Agency (Bawaslu). However, existing similarity measures, including Graph Edit Distance and semantic approaches, are computationally demanding or depend on extensive execution logs, while their use for auditing public-sector Standard Operating Procedures remains limited. This study evaluates the structural similarity of Bawaslu’s BPM models to identify procedural overlaps and support operational standardization through an efficient method. Methods – A quantitative approach was applied using the Jaccard similarity coefficient. BPMN models from provincial and regency/city levels were represented as directed graphs. Similarity was calculated from the intersection and union of functional nodes, representing activities, and coordination edges, representing transitions. Findings – Across four JDIH processes, the average total structural similarity reached 71.54%. Core activities were highly consistent, with node similarity above 93%, whereas coordination structures varied more substantially, with edge similarity below 67%. The legal-document upload procedure recorded the highest overall similarity score of 0.8181. Research implications – The method can support preliminary identification of redundant procedures, inconsistent coordination patterns, and SOPs requiring deeper review or harmonization. Originality – This study demonstrates the Jaccard coefficient as a lightweight, scalable tool for preliminary structural comparison of public-sector SOPs without intensive computation or extensive process logs.