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Sistem Pendukung Keputusan Pemilihan Calon Ketua Komite Sekolah Menggunakan Metode CoCoSo Bilatasya, Yolanda; Juledi, Angga Putra; Irmayani, Deci; Harahap, Syaiful Zuhri
Building of Informatics, Technology and Science (BITS) Vol 7 No 1 (2025): June (2025)
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i1.7530

Abstract

The election of the school committee chairperson is one of the important decision-making processes that directly impacts the sustainability and effectiveness of collaboration between the school and parents/guardians. At SMP Negeri 1 Rantau Selatan, the selection process for the committee chairperson has been conventional, subjective, and lacks a structured and standardised assessment system. This results in the selection process being based on popularity and personal connections rather than objective competence and qualifications. To address this issue, this study aims to design and implement a Decision Support System (DSS) based on the Combined Compromise Solution (CoCoSo) method, which can accommodate various quantitative evaluation criteria and generate more objective, transparent, and accountable decision recommendations. The CoCoSo method was chosen for its ability to integrate a compromise approach to conflicting criteria and produce consistent alternative rankings through three aggregation techniques: arithmetic mean, relative sum, and compromise programming. This study uses five main criteria to assess the suitability of committee chair candidates: experience in the field of education, communication skills, leadership, understanding of education policy, and integrity. Data was obtained from 15 committee chair candidates based on observation and questionnaire results, which were then processed through the CoCoSo method stages, including decision matrix formation, value normalisation, positive and negative ideal solution calculations, and final score aggregation. The data processing results show that the candidate named Eko Prasetyo obtained the highest compromise value in all CoCoSo calculation approaches with a final Ki value of 2.505, consistently placing him as the top-ranked candidate in the system's recommendations. This demonstrates that the CoCoSo method is effective in evaluating and determining the best candidate based on a data-driven and scientifically rational approach. Additionally, the system built can also serve as a strategic tool to enhance the quality of participatory educational governance at the school unit level.
Pelatihan Digital Marketing Pada Usaha Mikro Kecil Menengah (UMKM) diKelurahan Negri Lama Masrizal; Zebua, Yuniman; Juledi, Angga Putra; Fitri, Juli Hati; Rambe, Inny Rahayu
Jurnal Pengabdian Masyarakat Bhinneka Vol. 1 No. 2 (2022): Bulan November
Publisher : Bhinneka Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58266/jpmb.v1i2.17

Abstract

Salah satu bidang usaha yang tetap konsisten dan berkembang dalam perekonomian nasional salah satunya adalah Usaha Mikro, Kecil, dan Menengah (UMKM). Dengan maraknya pertumbuhan usaha saat ini persaingan pasarpun semakin ketat.Peralihan tren pemasaran dari konvensional (offline) ke media online menyebabkan para pelaku UMKM yang tidak memanfaatkan potensi digital marketing kehilangan kesempatan untuk lebih mengembangkan bisnisnya. Sosialisasi ini diikuti oleh 21 (Duapuluh Satu) orang para pelaku UMKM yang berada di Kelurahan negri lama kabupaten labuhanbatu. Para pelaku UMKM di sini masih kurang inovatif dalam mengembangkan usahanya. Umumnya, mereka belum menggunakan daya pikir yang kreatif untuk menggunakan digital marketing dengan memanfatkan jejaring sosial sebagai media pemasaran.Sosialisasi ini dilakukan dengan dengan tujuan untuk membentuk usaha kecil yang produktif dan mengikuti perkembangan zaman. Para peserta sosialisasi sangat antusias dengan materi dan pemaparan yang disampaikan.Kondisi ini diharapkan dapat memotivasi para pelaku UMKM mempraktekkan ilmu yang didapat, sehingga usahanya semakin berkembang dan dapat bersaing pada pasar yang lebih luas.
Discriminating Estate and Smallholder Agricultural Systems Using a Multi-Sensor Agriculture-Weighted Object-Based Classification Framework in Tropical Landscapes Triyanto, Yudi; Siregar, Jerry Maulana; Sari, Risna Maya; Juledi, Angga Putra
Agro Bali : Agricultural Journal Vol 8, No 3 (2025)
Publisher : Universitas Panji Sakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37637/ab.v8i3.2530

Abstract

The transformation of tropical landscapes due to agricultural expansion constitutes a significant global environmental challenge. Current land-cover classification methods, however, provide limited differentiation among agricultural management systems. This study develops an agriculture-focused land-cover classification workflow that fuses Landsat 9 optical imagery and PALSAR-2 L-band SAR across a ≈2,500 km² study area in Jambi Province, Sumatra, Indonesia, to enhance discrimination of crop systems and improve spatial coherence via object-based enhancement. A 22-class land-cover taxonomy was supported by 14,029 strategically collected training points. Feature engineering produced 29 predictor variables, including conventional vegetation indices, agricultural-specific metrics, water indicators, and SAR-derived structural features. Models were evaluated on an independent test dataset comprising 4,209 samples. An agriculture-weighted Random Forest classifier with strategic class weighting was implemented and followed by Simple Linear Iterative Clustering (SLIC) object-based enhancement to suppress speckle and enforce spatial contiguity. The classification achieved an overall accuracy of 53.7%, with exceptional performance for estate crop systems (F1 = 94%) and reliable forest discrimination. SLIC reduced salt-and-pepper noise by 99.5% and substantially improved spatial coherence metrics, transforming fragmented pixel-based outputs into operationally viable products. Despite these gains, discriminating smallholder mosaics remains challenging and likely requires additional temporal or higher-resolution inputs.