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Sistem Informasi Repository Berbasis Web Fakultas Keguruan dan Ilmu Pendidikan Universitas Muhammadiyah Palembang Dengan Menggunakan Framework Codeigniter Muhammad syahril; Muhammad Andryansyah
Jurnal Nasional Ilmu Komputer Vol. 4 No. 2 (2023): Jurnal Nasional Ilmu Komputer
Publisher : Training and Research Institute Jeramba Ilmu Sukses (TRI - JIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jurnalnik.v4i2.1361

Abstract

The Repository Information System Is Implemented In Order To Create The Needs Needed By The Faculty Of Teacher Training And Education. Therefore, the Repository Information System must be implemented by the Faculty of Teacher Training and Education to support accreditation to become a high-impacted faculty.The purpose of this research is to help one of the governance systems in the teaching and education faculties, especially in the field of scientific writing or libraries, the author creates a WEB-based Repository Information System for the Teaching and Education Faculty, University of Muhammadiyah Palembang using the Codeigniter Framework (PHP).The Data Collection Method Is Observation, Literature Study To Determine What Is Needed In Making The Repository Information System. Keywords: Repository, Scientific Writing, Library, Faculty of Teacher Training and Education, University of Muhammadiyah Palembang
Optimasi Prediksi Kelulusan Tepat Waktu: Studi Perbandingan Algoritma Random Forest dan Algoritma K-NN Berbasis PSO Indra Irawan; M Riski Qisthiano; Muhammad Syahril; Pamuji M. Jakak
Jurnal Pengembangan Sistem Informasi dan Informatika Vol. 4 No. 4 (2023): Jurnal Pengembangan Informasi dan Informatika
Publisher : Training & Research Institute - Jeramba Ilmu Sukses

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jpsii.v4i4.1374

Abstract

The prediction of on-time graduation for students involves various measurement techniques, including criteria such as majors, class types, and semester grade achievements. These factors play a crucial role in determining whether students will complete their studies within the designated timeframe. In line with this, a model has been developed to forecast the probability of timely graduation. This model leverages the Random Forest and k-Nearest Neighbor (K-NN) algorithms as tools to classify students into appropriate groups. Optimization is carried out using the Particle Swarm Optimizer (PSO) algorithm to enhance prediction accuracy. The data used originates from alumni of various Universities in Palembang.This model utilizes multiple attributes, such as majors, university origins, class types, and semester grade records up to the fourth semester. Other attributes encompass the year of graduation and year of enrollment. Data management and processing are conducted using Rapidminer. Validation is performed by splitting the dataset into training and testing groups through the split validation method. Based on research and testing, the Random Forest algorithm achieves an accuracy of 95.79% with an Area Under Curve (AUC) of 0.991. After optimization with PSO, accuracy increases to 97.89% with an AUC of 0.993. Meanwhile, the k-NN algorithm achieves an accuracy of 93.49% with an AUC of 0.975; after optimization with PSO, accuracy rises to 96.74% with an AUC of 0.986.
Sistem Administrator Debt Recording Berbasis Website pada Toko Serunai Sekayu Syahril, Muhammad; Ramdhani, M.Ficky
Jurnal Ilmu Siber dan Teknologi Digital Vol. 2 No. 2 (2024): Mei
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jisted.v2i2.3278

Abstract

Purpose: This article aims to develop and implement an administrator system for website-based debt recording that can be used by Toko Serunai Sekayu. Method: The system development method is carried out using a web-based software development approach. Development stages include requirements analysis, system design, implementation, and testing. Results: The result of this research is the successful implementation of a website-based debt recording administrator system for the Serunai Sekayu Shop. This system allows users to record customer debts efficiently and manage this data well. Limitations: The limitation of this system is its dependence on a stable internet connection for optimal access and use of the system. In addition, there may be challenges in integrating with the store's existing systems. Contribution: The main contribution of this article is the development of a specific and applicable system for debt management at Serunai Sekayu stores. This system provides a practical solution for these stores in managing and monitoring customer debt effectively through an easy-to-access web platform.
Penerapan Metode Support Vector Machine Dalam Menganalisis Sentimen Pengguna Aplikasi Sirekap 2024 Di Google Playstore Iqrom, Redho Aidil; Syahril, Muhammad; Jakak, Pamuji Muhamad; Irawan, Indra; Febyani, Yanita
Jurnal Pengembangan Sistem Informasi dan Informatika Vol. 6 No. 1 (2025): Jurnal Pengembangan Sistem Informasi dan Informatika
Publisher : Training & Research Institute - Jeramba Ilmu Sukses

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jpsii.v6i1.2565

Abstract

Sirekap is a mobile application that was built to help the public monitor and oversee the development of the 2024 elections held in Indonesia. The research aims to apply the Support Vector Machine algorithm in analyzing sentiment about the use of the Sirekap application in 2024. The Support Vector Machine method is used to classify user sentiment into classes, namely positive, negative, and very negative. The amount of data used is 15,000 data sourced from Sirekap application reviews on Google PlayStore, with more detailed research stages including data collection, data preprocessing, data labeling, visualization, word weighting, and testing and analysis. The results show that the Support Vector Machine algorithm provides an accuracy of 88% for the Sirekap 2024 application. These results are expected to help developers to develop further the Sirekap 2024 application in improving the quality of the application and providing better user comfort Based on the results of the sentiment analysis of Sirekap 2024 application users on the Google Play store using the Support Vector Machine (SVM) method, an accuracy rate of 88% was obtained in classifying the sentiment of reviews into positive, negative, and very negative. This shows that the Support Vector Machine method is quite accurate for sentiment analysis of Indonesian text data. Overall, most reviews are very negative with a percentage reaching 76.9%, followed by negative reviews at 12.6%, and the least are positive reviews at 11%.
Peningkatan Pendapatan Kemplang Marmus melalui Marketing Produk dan Pengelolaan Keuangan Eni Cahyani; Efrina Masdain; Bora Alviolesa; M. Syahril; Widi Samsudin
PaKMas: Jurnal Pengabdian Kepada Masyarakat Vol 5 No 1 (2025): Mei 2025
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/pakmas.v5i1.4094

Abstract

This community service is aimed at Micro, Small and Medium Enterprises (MSMEs) Kemplang Marmus Tanjung Raja, Ogan Ilir Regency, South Sumatra. This technical guidance (Bimtek) activity aims to introduce marketing elements, especially the product itself, namely Kemplang tunu. Continued by increasing knowledge regarding the calculation of production costs (HPP) and simulation of production cost calculations. This activity involves students who carry out Real Work Lectures (KKN) together with field supervisors. After identifying the problem, it was agreed that the problem was that Kemplang Marmus was still constrained by packaging so that its marketing was unable to be present in certain segments and had not calculated the production cost, this made it difficult for MSMEs to determine the right competitive price. Based on the problems above, a product marketing and financial knowledge training was carried out. The training was carried out in 2 stages, namely technical guidance starting from increasing knowledge of product packaging, designing logos on primary and secondary packaging. The activity was continued with a simulation of calculating the production cost for 1 3/4 kg package.
Pelatihan Memanfaatkan Pemasaran Online Kepada Siswa Sekolah Menengah Kejuruan Muhammadiyah 3 Palembang Afrilliana, Nadia; Puspasari, Mardiana; Syahril, Muhammad; Agusria, Lesi; Putri, Syafitri Dwi
Suluh Abdi Vol 7, No 1 (2025): SULUH ABDI
Publisher : Universitas Muhammadiyah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32502/sa.v7i1.9834

Abstract

Pemasaran online  memang telah menjadi elemen kunci dalam strategi bisnis saat ini. Dengan semakin banyaknya orang yang menghabiskan waktu di platform digital, Salah satu aspek terpenting dari pemasaran online adalah pemanfaatan media sosial. Platform seperti Instagram, Facebook, dan TikTok tidak hanya memungkinkan bisnis untuk menjangkau audiens yang lebih luas, tetapi juga memberikan kesempatan untuk berinteraksi secara langsung dengan pelanggan. Sekolah Menengah Kejuruan (SMK) memiliki peran penting dalam sistem pendidikan di Indonesia, mempersiapkan siswa untuk memasuki dunia kerja dengan keterampilan dan pengetahuan yang relevan. Salah satu keunggulan SMK adalah kerjasama dengan dunia industri. . Salah satu SMK yang ada di kota Palembang adalah SMK Muahammadiyah 3 palembang yang berada di lokasi Plaju, yang memiliki beberapa jurusan diantara lain adalah Jurusan Perhotelan, busana dan Kuliner   Pelatihan Pemanfaatan pemasaran online di SMK Muhammadiyah 3 Palembang sangatlah penting dalam membantu siswa untuk mengembangkan keterampilan digital, memperluas jaringan, dan mempromosikan produk atau jasa mereka secara efektif, sehingga siap menghadapi tantangan di dunia kerja yang semakin modern.
Perancangan Aplikasi Komunitas Private Balance Bike Palembang Berbasis Website syahril, muhammad -; Alviolesa, Bora; Hidayat, Randy
Jurnal Digital: Telnologi Informasi Vol 8, No 1 (2025): Jurnal Digital Teknologi informasi
Publisher : Universitas Muhammadiyah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32502/digital.v8i1.9723

Abstract

A balance bike is a pedal-less bicycle designed to help children develop balance before transitioning to a regular two-wheeled bicycle. As public interest in this sport continues to grow in Palembang, there is an increasing need for a community platform that can facilitate communication, activity information, and structured member management. This study aims to design a website-based application for the Private Balance Bike Palembang community to support its digital activities. The system development method used is the Waterfall model, which includes requirement analysis, system design, implementation, and testing stages. The result of this research is a website-based application prototype that offers main features such as member registration, discussion forums, training and event schedules, and community data management. This application is expected to be an effective solution for enhancing interaction and coordination among community members in an efficient and organized manner