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All Journal Komatika: Jurnal Pengabdian Kepada Masyarakat Eksponensial
Khusnia Nurul Khikmah
University of Palangka Raya
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Mathematics Social Sciences Other

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Pendampingan Strategi Pemasaran dan Evaluasi Biaya Produksi Sedotan Purun Desa Tumbang Nusa Elga Araina; Silvita; Khusnia Nurul Khikmah; Trisni Salsa Ramadina; Cyntia Lupita Sari; Adila Durrotul Ghina; Resti Sundari
Komatika: Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 1 (2026): May 2026
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat, Institut Informatika Indonesia Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34148/komatika.v6i1.1443

Abstract

Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan kapasitas usaha sedotan purun (Lewu Straws) di Desa Tumbang Nusa melalui pendampingan strategi pemasaran digital dan evaluasi biaya produksi. Metode partisipatif diterapkan selama 10 hari, meliputi observasi, wawancara, dan analisis data primer. Hasil identifikasi menunjukkan kendala utama pada aspek pemasaran (skor rata-rata 4.64), khususnya pengetahuan digital marketing yang minim, jangkauan pasar terbatas, dan kesulitan menentukan harga jual kompetitif. Analisis biaya mengungkap struktur produksi padat karya dengan biaya tenaga kerja langsung mendominasi (67.5% dari total biaya per 100 batang) dan HPP sebesar Rp 370 per batang. Intervensi berfokus pada pelatihan pencatatan biaya yang komprehensif (termasuk biaya oportunitas bahan baku), pembuatan konten media sosial berbasis storytelling kearifan lokal, serta pengenalan strategi penetapan harga (cost-plus pricing) dan platform e-commerce. Dampak kegiatan berupa peningkatan pemahaman dan keterampilan praktis pelaku usaha dalam mengelola usaha secara lebih profesional. Proyeksi produksi menunjukkan potensi peningkatan kapasitas hingga tiga kali lipat dalam setahun, dengan syarat diiringi strategi pemasaran yang efektif. Sinergi multidisiplin akademisi ini membuktikan bahwa pendampingan terstruktur dapat mengoptimalkan potensi ekonomi produk berbasis kearifan lokal, mendorong keberlanjutan usaha, serta berkontribusi pada penguatan ekonomi desa dan pelestarian lingkungan.
Perbandingan Metode Imputasi Data Hilang untuk Peramalan Curah Hujan dengan ARIMA di Palangka Raya Khusnia Nurul Khikmah
EKSPONENSIAL Vol. 17 No. 1 (2026): Jurnal Eksponensial
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/eksponensial.v17i1.1611

Abstract

Rainfall is one of the fundamental factors influencing various aspects of a region, including the city of Palangka Raya. Therefore, statistical tools are needed to forecast rainfall for mitigation and planning related to its effects. The objective of this study is to evaluate the performance of the ARIMA model in forecasting rainfall and to analyze the impact of three methods of missing data imputation on forecast accuracy. Therefore, this study proposes an evaluation of the autoregressive integrated moving average (ARIMA) model's performance for rainfall forecasting and the handling of missing data through three imputation methods: mean imputation, forward filling, and backward filling. The data used in this study consists of historical rainfall data from 2013 to 2022. The forecasting results indicate that rainfall data modelled using ARIMA and treated for missing data via mean imputation demonstrated the best forecasting accuracy in the validation test, as rainfall data in Palangka Raya City is fluctuating without a consistent seasonal pattern. Thus, the historical average value is more representative than the preceding or subsequent values, which could reinforce local bias. This is demonstrated by the smallest RMSE, MAE, and MAPE values, which are 124,17%, 103,57%, and 40,32%, respectively.
Co-Authors Adila Durrotul Ghina Cyntia Lupita Sari Elga Araina Resti Sundari Silvita Trisni Salsa Ramadina