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All Journal JURNAL PENGABDIAN KEPADA MASYARAKAT The IJICS (International Journal of Informatics and Computer Science) Jurnal Masyarakat Indonesia Jurnal Sistem Informasi dan Teknologi Jaringan Indonesian EFL Journal
Rizki Fadila Nasution
STMIK Pelita Nusantara
Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Social Sciences

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A BASIC ENGLISH TEXTBOOK IN ENGLISH FOR COMMUNICATION AND LEARNING STRATEGIES FOR NON-ENGLISH STUDY PROGRAMS Mara Untung Ritonga; Elly Prihasti Wuryuni; Rizki Fadila Nasution
Indonesian EFL Journal Vol. 12 No. 1 (2026)
Publisher : University of Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ieflj.v12i1.89

Abstract

This study examines the learning strategies of non–English major students and evaluates the feasibility and effectiveness of A Basic Textbook in English for Communication as a communicative instructional resource in higher education. Persistent challenges in students’ speaking performance, including limited fluency, frequent first language reliance, communication anxiety, and avoidance strategies underscore the need for structured and contextually relevant learning materials. The study employed a research and development (R&D) approach adapted from the Borg and Gall model, encompassing needs analysis, textbook design, expert validation, limited field testing, and effectiveness evaluation. Data were collected through expert validation instruments, speaking performance tests, classroom observations, and student response questionnaires. Expert validation results indicated a high level of feasibility, with mean scores ranging from 4.21 to 4.32 across content, pedagogy, and media design aspects. Effectiveness testing showed a significant improvement in students’ speaking performance, with the mean score increasing from 65.4 (pre-test) to 82.7 (post-test). The instructional impact was further supported by a high effect size (Cohen’s d = 1.12), indicating a strong practical effect of the textbook intervention. Improvements were observed across all speaking components, including fluency, accuracy, vocabulary, pronunciation, and interaction. Qualitative findings revealed a notable shift in students’ communication strategies from avoidance behaviors toward more productive strategies such as paraphrasing, self-repair, circumlocution, and clarification requests, reflecting increased confidence and willingness to communicate. Overall, the findings demonstrate that a task-based, communicative English textbook can effectively enhance both linguistic competence and strategic language use among non–English major students in Indonesian higher education.
PENERAPAN SISTEM SURAT SEKOLAH BERBASIS WEB UNTUK MENINGKATKAN EFEKTIVITAS PROSES ADMINISTRATIF PADA SMK WIRA KESUMA JAYA. Rizki Fadila Nasution; sulindawaty sulindawaty; yuda perwira; Selvi Yolanda; Yogi Irwan Syahputra
JURNAL PENGABDIAN KEPADA MASYARAKAT Vol. 32 No. 1 (2026): JANUARI-MARET
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jpkm.v32i1.72180

Abstract

Manajemen korespondensi merupakan komponen vital dalam administrasi sekolah, karena secara langsung memengaruhi efektivitas komunikasi institusional dan proses pengambilan keputusan. Namun, dalam praktiknya, banyak sekolah masih mengelola korespondensi masuk dan keluar menggunakan prosedur manual, yang dapat menyebabkan berbagai inefisiensi administratif. Kondisi ini juga diamati di SMK Wira Kesuma Jaya, di mana proses pencatatan, penyimpanan, dan pengambilan arsip korespondensi belum terintegrasi secara digital. Melalui Program Kemitraan Masyarakat (PKM), tim dosen dari STMIK Pelita Nusantara merancang dan mengimplementasikan sistem korespondensi sekolah berbasis web sebagai solusi untuk meningkatkan efektivitas administrasi. Sistem ini dikembangkan untuk mendukung manajemen terstruktur surat masuk dan keluar, memungkinkan pengarsipan digital, dan memfasilitasi proses pemusnahan korespondensi. Implementasi sistem dilakukan melalui sesi sosialisasi, pelatihan, dan pendampingan berkelanjutan bagi personel sekolah. Hasil menunjukkan bahwa sistem korespondensi berbasis web berkontribusi pada proses administrasi yang lebih cepat, mengurangi kesalahan pencatatan, dan meningkatkan organisasi serta keamanan arsip dokumen. Lebih lanjut, implementasi sistem ini mendukung percepatan transformasi digital dalam tata kelola administrasi sekolah secara berkelanjutan.
Pendampingan Optimalisasi Penilaian Otentik dalam Pembelajaran Bahasa Indonesia Tingkat SMK di Kota Binjai M Joharis; Mara Untung Ritonga; Savitri Rahmadany; Rizki Fadila Nasution
Jurnal Masyarakat Indonesia (Jumas) Vol. 3 No. 02 (2024): Jurnal Masyarakat Indonesia (Jumas)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jumas.v3i02.142

Abstract

This community service (PKM) aimed to optimizing authentic assessments in Indonesian language learning at vocational high school level in Binjai city. This community service activity aims to improve the competence of teachers in designing and implementing authentic assessments in accordance with skills in vocational schools. Authentic assessment is an assessment that is in accordance with the demands of contextual learning. Authentic assessment is not only used to assess student learning outcomes, but also the learning process carried out. The purpose of authentic assessment is to measure various skills in various contexts that reflect real-world situations where these skills are used. Authentic assessment can also be used to ensure true information about student abilities or competencies. This PKM activity is carried out through several methods, namely: 1) Preparation stage, 2) Implementation stage, 3) Evaluation stage. The results of this PKM are: 1) Training participants understand the basic concept of authentic assessment in Indonesian language learning based on the Merdeka Curriculum in SMK, 2) Training participants can design and design authentic assessments in Indonesian language learning based on the Independent Curriculum in SMK, 3) Training participants can apply authentic assessments in Indonesian language learning based on the Merdeka Curriculum in SMK in the evaluation process of student learning outcomes. This study is expected to help teachers become competent and professional teachers in teaching and also competent and professional in designing and implementing authentic assessments in Indonesian language learning according to learning needs in SMK.
Penerapan Data Mining Untuk Memprediksi Tren Pasar Dalam Market Base Analysis Dengan Algoritma Fp Growth Penda Sudarto Hasugian; Agustina Simangungsong; Rizki Fadila Nasution; Jelita Ananda Putri Br Manjorang; Kristin M. Pardede
Jurnal Sistem Informasi dan Teknologi Jaringan Vol 7 No 1 (2026): Maret
Publisher : CV. ADMITECH SOLUTIONS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63703/sisfotekjar.v7i1.142

Abstract

Perkembangan teknologi informasi mendorong pemanfaatan data dalam jumlah besar untuk menghasilkan informasi yang bermanfaat bagi pengambilan keputusan bisnis. Salah satu teknik yang dapat digunakan adalah data mining dengan pendekatan Market Basket Analysis untuk mengetahui pola pembelian konsumen. Penelitian ini bertujuan untuk menerapkan algoritma FP-Growth dalam memprediksi tren pasar berdasarkan data transaksi penjualan. Data yang digunakan meliputi atribut Transaction ID, jenis produk, jumlah pembelian, dan harga produk. Proses pengolahan data dilakukan menggunakan software RapidMiner melalui tahapan preprocessing data, pembentukan frequent itemset, serta pembentukan association rule. Pada penelitian ini digunakan parameter minimum support sebesar 0,3 dan minimum confidence sebesar 0,8 untuk menghasilkan aturan asosiasi yang relevan. Hasil penelitian menunjukkan bahwa algoritma FP-Growth mampu mengidentifikasi hubungan keterkaitan antar produk secara efektif dan efisien. Beberapa produk memiliki tingkat asosiasi yang tinggi, dimana produk Air Mineral sering muncul sebagai produk pendamping dalam berbagai transaksi pembelian. Hal ini menunjukkan bahwa Air Mineral merupakan salah satu produk dengan tingkat permintaan tinggi di pasar. Penerapan metode ini dapat membantu pelaku usaha dalam menentukan strategi pemasaran, pengelolaan persediaan barang, serta penentuan penempatan produk. Dengan demikian, penerapan data mining menggunakan algoritma FP-Growth dapat digunakan sebagai alat bantu dalam memprediksi tren pasar dan mendukung pengambilan keputusan bisnis berbasis data.
Random Forest Model for Food Security Index Prediction Using Climate and Socioeconomic Panel Data in North Sumatra Wira Apriani; Rizki Fadila Nasution; Rangga Pohan; Tyo Rizki Ramadhan
The IJICS (International Journal of Informatics and Computer Science) Vol. 10 No. 2 (2026): July
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v10i2.9998

Abstract

This study develops and evaluates a Random Forest Regression model for predicting the Food Security Index (IKP) using climate and socioeconomic panel data from 33 regencies/cities in North Sumatra, with Deli Serdang Regency as the principal case discussed. The predictors comprise poverty rate, gross regional domestic product (GRDP) per capita, annual rainfall, and annual rainy days. The common modeling period was 2020–2021. Of 66 potential regency-year observations, eight lacked IKP values in 2021, leaving 58 complete observations. To account for the panel structure, model performance was evaluated using nested group-aware cross-validation, with regency/city as the grouping variable. Across five outer folds, Random Forest achieved RMSE 8.450 ± 2.703, MAE 6.289 ± 2.018, and R² −0.501 ± 1.500. Linear regression obtained RMSE 8.282 ± 2.431, MAE 6.401 ± 2.262, and R² −0.363 ± 1.192, while a single decision tree obtained RMSE 9.821 ± 3.482, MAE 8.030 ± 2.849, and R² −0.972 ± 1.871. Thus, no model demonstrated strong or stable out-of-group generalization. Repeated group-aware permutation analysis identified poverty rate as the most consistent predictor. The results are predictive and associational, not causal, and the present model should be regarded as an exploratory proof of concept requiring larger, spatially resolved data for robust regional forecasting.
Co-Authors Agustina Simangungsong Elly Prihasti Wuryuni Hasugian, Penda Sudarto Jelita Ananda Putri Br Manjorang Kristin M. Pardede M Joharis MARA UNTUNG RITONGA, MARA UNTUNG Rangga Pohan Savitri Rahmadany Selvi Yolanda Sulindawaty Sulindawaty Tyo Rizki Ramadhan Wira Apriani Yogi Irwan Syahputra Yuda Perwira