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Pengembangan Media Edukasi Berbasis Vidio Untuk Peningkatan Kompetensi Kader Posyandu dalam Mendukung Desa Cantik di Lembar Selatan Istiqamah, Istiqamah; Baskara, Zulhan Widya; Harsyiah, Lisa; Putri, Dina Eka; Andriani, Helmina; Qudsi, Jihadil; Saputri, Intan Editia
Bakti Sekawan : Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2025): Desember
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/bakwan.v5i2.894

Abstract

The integrated health posts (posyandu) in South Lembar Village, West Lombok Regency, face challenges in recording and reporting health data due to the low level of digital literacy among community health cadres, which slows down decision-making for village-level health programs. This community service initiative aims to enhance the competencies of cadres from 13 posyandu through the development of educational media in the form of Microsoft Excel tutorial videos, combined with in-person training sessions and field mentoring.The implementation methods included outreach activities, intensive training, the application of technology through short video tutorials on the TikTok platform, and evaluation using paired t-test analysis. The evaluation results indicated a significant improvement in cadre competencies, with the average pre-test score increasing from 62.00 to 90.00 in the post-test. Furthermore, the paired t-test results (p-value 0.045 < 0.05) demonstrate that the training had a positive impact on cadre skills.This improvement reflects the effectiveness of combining self-directed video learning with direct mentoring in accelerating mastery of basic Excel functions for managing nutrition, immunization, and maternal visit data. Overall, the program succeeded in strengthening the digital reporting system of the posyandu.
Delta Degree-Based Indices of Prime Coprime Graph for Integers Modulo Group Abdurahim; Romdhini, Mamika Ujianita; Qudsi, Jihadil; Al-Sharqi, Faisal; Rodzi, Zahari Md.
Science and Technology Indonesia Vol. 11 No. 1 (2026): January
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2026.11.1.10-18

Abstract

Research on prime coprime graphs of finite groups has largely focused on structural properties, spectra, and classical topological indices, with limited attention given to delta degree-based indices. To address this gap, this study investigates delta degree-based topological indices of the prime coprime graph constructed on the group of integers modulo n, Zn. In this graph, the vertices correspond to the elements of Zn, and two distinct vertices are adjacent if and only if the greatest common divisor of their orders is either 1 or a prime number. In the present work, the focus lies on computing and analyzing several delta degree-based topological indices that are obtained by incorporating the concept of delta degree into classical topological indices, including the delta first Zagreb index, the delta second Zagreb index, the delta hyper Zagreb index, and the delta forgotten index. The methodology involves deriving formulas for these delta-based indices for various values of n, supported by systematic computations and data tabulation. Beyond purely algebraic computation, statistical tools are employed to investigate the relationships between different indices. In particular, a comparative distribution analysis is conducted to determine whether pairs of indices exhibit similar patterns of variability using the Levene test.
EVALUASI PRODUK PEMBELAJARAN MULTIMEDIA (PELIN) EVALUATION OF LEARNING MULTIMEDIA PRODUCT (PELIN) Jihadil Qudsi S.; Anthony Anggrawan
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 16 No. 1 (2016)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v16i1.22

Abstract

This paper purpose is to discover shortcomings of multimedia product of Pelin and to conduct a survey to users of multimedia Pelin . Pelin is an online e-learning multimedia for students of Sekolah Tinggi Manajemen Informatika dan Komputer (STMIK) Bumigora Mataram, which is able the students to upload task file and download learning material. Pelin system is based on restful webservice that can provide distant learning. There are four levels of evaluation, those are reaction, learning, behavior and result. The formative evaluations result show: the Pelin multimedia disadvantages are: not supports interactive face to face learning, not facilitates audio communication, not be fully user friendly, could not upload graphic and image files, not be provided by feedback facility of test result and also not have help menus. The summative evaluation result found that the Pelin Multimedia is supports independent learning, provides web-client application, improves reaction of student to learn, increases student knowledge comprehension, increases learning behavior, and gives good learning result. Statistical comparison tests found there are significant differences influence the implementation of Pelin and there is no difference in terms of the level of reaction, learning and behavior towards the use of Pelin for S1 and D3 students.
Deteksi Citra Kendaraan Berbasis Web Menggunakan Javascript Framework Library Jian Budiarto; Jihadil Qudsi
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 18 No. 1 (2018)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v18i1.325

Abstract

Populasi penduduk yang semakin berkembang menyebabkan tingginya kemacetan jalan. Kemacetan terjadi karena jumlah kendaraan yang beroperasi tidak sebanding dengan volume jalan yang tersedia. Pemerintah sebagai pelaksana pelayanan bagi masyarakat belum mampu memberikan informasi lalu lintas yang memadai. Masyarakat membutuhkan informasi kondisi lalu lintas secara realtime, otomatis dan mudah diakses menggunakan internet. Penelitian ini bertujuan untuk memberikan informasi jumlah kendaraan dengan konsep internet of things menggunakan javascript detection library. Penelitian ini terdiri dari beberapa tahapan penelitian antara lain: survei & identifikasi, analisis data, training data, dan pengembangan aplikasi menggunakan javascript framework library. Hasil yang didapatkan adalah aplikasi mampu mendeteksi citra kendaraan berdasarkan xml training dari Matlab sebesar 95%.