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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Cendikia Jurnal Teknologi Komputer dan Sistem Informasi JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Ngajiyanto Ngajiyanto
Institut Teknologi Bisnis dan Bahasa Dian Cipta Cendikia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Implementasi Data Mining Untuk Memprediksi Status Gizi Anak Balita Pada Puskesmas Gedung Sari Menggunakan Polynomial Regression Evi Marlena; Sidik Rahmatullah; Sigit Mintoro; Ngajiyanto Ngajiyanto
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 6, No 2 (2023): JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Publisher : STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v6i2.1490

Abstract

Predictions of children's nutritional Status can provide important input to. efforts to monitor and intervene in child nutrition, as well as support better decision-making in the field of child health. This study took data from Puskesmas data. Gedung Sari Health Center is a community health center located in Anak Ratu Aji District, Central Lampung Regency. Based on the results and discussion of the data analysis on the data above, related to the prediction of the nutritional status of toddlers at the Gedung Sari Health Center using polynomial regression, a conclusion is obtained. The conclusion of predicting nutritional status using polynomials depends on specific data analysis and modeling and the methods used. However, in general, polynomials can be used to model the relationship between input and output variables in the case of predicting nutritional status. predicted nutritional status of children and total predicted nutritional status obtained Predictions based on age in 2019 = 290,806; Predictions based on nutritional status in 2020 = 68,176; Predictions based on nutritional status in 2021 = 122,239. More research needs to be done to validate and increase the reliability of a prediction and integrate the results into health practice to improve child nutrition monitoring and interventions in the community health center.
Implementasi Data Mining Untuk Memprediksi Status Gizi Anak Balita Pada Puskesmas Gedung Sari Menggunakan Polynomial Regression Evi Marlena; Sidik Rahmatullah; Sigit Mintoro; Ngajiyanto Ngajiyanto
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 6, No 2 (2023): JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v6i2.1490

Abstract

Predictions of children's nutritional Status can provide important input to. efforts to monitor and intervene in child nutrition, as well as support better decision-making in the field of child health. This study took data from Puskesmas data. Gedung Sari Health Center is a community health center located in Anak Ratu Aji District, Central Lampung Regency. Based on the results and discussion of the data analysis on the data above, related to the prediction of the nutritional status of toddlers at the Gedung Sari Health Center using polynomial regression, a conclusion is obtained. The conclusion of predicting nutritional status using polynomials depends on specific data analysis and modeling and the methods used. However, in general, polynomials can be used to model the relationship between input and output variables in the case of predicting nutritional status. predicted nutritional status of children and total predicted nutritional status obtained Predictions based on age in 2019 = 290,806; Predictions based on nutritional status in 2020 = 68,176; Predictions based on nutritional status in 2021 = 122,239. More research needs to be done to validate and increase the reliability of a prediction and integrate the results into health practice to improve child nutrition monitoring and interventions in the community health center.
Leveraging Personal Extreme Programming for Developing an Online Registration System Tya Rahma Shani; Sigit Mintoro; Ngajiyanto Ngajiyanto
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 2 (2024): September 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i2.9638

Abstract

The development of an online admission system in schools is expected to make new student admissions more transparent, effective, and efficient. With the adoption of this technology, schools can be more efficient in managing admission lists, providing information to prospective students and parents, and speeding up the admission selection process. SMA MANBAUL ULUM is a private school that still uses a manual new student registration and admission system, where prospective students must come directly to the school to register themselves causing errors in student data and the loss of important student registration documents. The author examines the new student registration system running at Sma Manbaul Ulum Gayau Sakti Seputih Agung and proposes a web-based new student admission system that is expected to solve these problems. The author uses the Personal Extreme Programming method to design the system in this research.
E-COMMERCE BUMDES SEJAHTERA DESA GUNUNG SADAR Linda Wati; Dwi Marisa Efendi; ngajiyanto ngajiyanto
Jurnal Cendikia Vol 26 No 1 (2026): Jurnal Cendikia Vol. 26 No. 1 April 2026
Publisher : LPPM ITBA Dian Cipta Cendikia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.2313/jc.v26i1.624

Abstract

Usaha Mikro, Kecil, dan Menengah (UMKM) memegang peranan krusial dalam perekonomian nasional, namun sering kali menghadapi kendala keterbatasan akses pasar serta ketidakmampuan dalam menganalisis data penjualan guna menentukan strategi pemasaran yang adaptif. Penelitian ini bertujuan untuk merancang model sistem informasi digital marketing yang diintegrasikan dengan teknologi Business Intelligence (BI). Sistem yang dikembangkan mengadopsi metode Data Warehousing dan visualisasi dasbor interaktif menggunakan indikator performa utama (Key Performance Indicators). Melalui pendekatan deskriptif kualitatif dan kuantitatif, data transaksi dari UMKM di wilayah Bandar Lampung diekstrak, ditransformasikan, dan dimuat ke dalam repositori data terpusat. Hasil penerapan model menunjukkan bahwa visualisasi data yang dihasilkan mampu memberikan gambaran komprehensif mengenai tren produk terlaris, segmentasi demografis konsumen, serta efektivitas saluran pemasaran digital. Berdasarkan hasil pengujian pasca-implementasi, akurasi pengambilan keputusan pemasaran meningkat signifikan yang berdampak langsung pada kenaikan volume penjualan produk UMKM rata-rata sebesar 24,5% dalam periode tiga bulan. Model ini membuktikan bahwa pemanfaatan BI berskala taktis dapat diimplementasikan secara efisien pada level UMKM guna mempercepat transformasi digital dan daya saing pasar.
Co-Authors Dwi Marisa Efendi Evi Marlena Linda Wati Sidik Rahmatullah Sigit Mintoro Tya Rahma Shani