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All Journal Information Technology and Telematics Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA JURNAL PENDIDIKAN TAMBUSAI Jurnal Informasi dan Teknologi Economics and Digital Business Review International Journal of Social Science Aptekmas : Jurnal Pengabdian Kepada Masyarakat Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Riset Teknik Komputer
Imam Syafii
Diponegoro University
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Rancang Bangun Sistem Informasi Penelitian dan Pengabdian Kepada Masyarakat ITSK Sugeng Hartono Imam Imam; Alfan Ridha
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v5i2.316

Abstract

ITSK Sugeng Hartono mempunyai unit kegiatan (Lembaga Penelitian dan Pengabdian kepada Masyarakat) LPPM yang memiliki fungsi sebagai pengelola semua kegiatan penelitian dan pengabdian kepada masyarakat yang dilaksanakan oleh dosen yang bertujuan meningkatkan kualitas dosen dan melaksanakan Tri Dharma Perguruan Tinggi. LPPM ITSK Sugeng Hartono selama ini masih menggunakan proses pengelolaan data secara manual menggunakan excel dan word mengakibatkan integritas dan keamanan data yang tidak terjamin, adapun proses distribusi data yang masih menggunakan proses manual yaitu pengiriman email dan sosial media sehingga proses pengiriman informasi semakin melambat.Guna mengatasi masalah tersebut dirancang aplikasi sistem informasi penelitian dan pengabdian kepada masyarakat yang bertujuan untuk mempermudah pengiriman informasi dan data serta memberikan kemudahan kepada pengelola. Aplikasi sistem informasi LPPM ITSK Sugeng Hartono berbasis web-based dengan tujuan memberikan kemudahan akses kepada dosen dan reviewer serta pengelola sistem. Sistem dirancang menggunakan framework laravel 8 dan penyimpanan menggunakan PostgreSQL.
PENYULUHAN SKRINING GIZI DASAR SECARA MANDIRI BERBASIS KECERDASAN BUATAN MACHINE LEARNING PADA SISWA SMA Imam Syafii; Alfan Ridha; Vioresta Steffiandry; Rafli Yunan Suryatama
Aptekmas Jurnal Pengabdian pada Masyarakat Vol 6 No 2 (2023): Aptekmas Volume 6 Nomor 2 2023
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36257/apts.v6i2.6826

Abstract

Nutritional status is an indicator of success in meeting nutritional needs, especially shown in achieving weight according to age. Good nutritional status if the nutritional intake is in accordance with the needs of the body. Lack of nutrient intake in food can cause malnutrition, while excess nutrient intake will result in over nutrition. Lack of knowledge related to nutritional status has an impact on body growth and development. Providing nutritional status analysis can involve technology in the form of artificial intelligence. Data processing related to cases that have occurred before in technology using machine learning. Application of technology in providing web-based nutritional status screening analysis. The application of technology has an effect in action in the form of providing fast and accurate analysis and can provide suggestions for reducing the impact on the occurrence of illness and death associated with nutritional status.
Pengaruh Literasi Keuangan Mahasiswa Terhadap Keputusan Investasi di Pasar Modal Studi pada Mahasiswa Indonesia dan Mahasiswa di Negara Potensial. Mutia Ulfa; Ahmad Aufar Ribhi; Nita Ilmiyatul Lailiyah; Vincensia Serenade; Imam Syafii
Economics and Digital Business Review Vol. 4 No. 2 (2023): February - July
Publisher : STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/ecotal.v4i2.676

Abstract

Financial literacy is knowledge about finance and its management. One of the knowledge in financial literacy is related to investing in the capital market. Investment itself is an activity that consciously and consistently invests the money you have to get more returns in the future. Investment decisions must be taken appropriately so that there is no risk of loss later. This research is a literature study, with data collection methods that use the identification, evaluation, interpretation, and search of literature sourced from accredited national and international journals. The journals used in this study totaled 14 articles published in 2019-2023 obtained from the Google Scholar, Crossref, and IEEE websites. The results of observations of several journals used, state that financial literacy has a significant and positive influence on investment decisions, which means changes in the value of financial literacy will affect changes in the value of student investment decisions.
Penerapan Artificial Neural Network Untuk Memprediksi Error dalam Perancangan Aplikasi Monitoring Tetes Cairan Infus Astutik, Liya Yuni; Syafii, Imam
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 3 (2024): Juli 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i3.7724

Abstract

Decision-making in error prediction during the design process of infusion drip monitoring applications plays a crucial role. Designing this application is necessary because manual monitoring by medical staff is prone to errors and inaccuracies. Therefore, the need for accurate predictions in both planning and error management must be further investigated. This research discusses the benefits of the Artificial Neural Network (ANN) methodology in addressing error values in infusion drip monitoring applications during the design process. ANN is chosen for its ability to handle data complexity and non-linear patterns in infusion drip rates. Errors in infusion dosage can be fatal, ranging from patient instability to severe complications. Designing infusion drip monitoring applications automates the process and ensures accuracy, reducing the workload of medical staff and enhancing patient safety. This application also allows for more consistent and real-time monitoring, enabling quicker medical intervention when issues arise. The ANN methodology used includes both forwardpropagation and backpropagation, employing a binary sigmoid activation function with a learning rate of 0.03 and a maximum epoch setting of up to 1000. The research results indicate that the model-building procedure consists of several stages: (1) Determining input based on infusion drip rate readings. (2) Splitting the data into training and testing datasets. (3) Normalizing the data. (4) Building the forwardpropagation and backpropagation algorithm by determining the number of hidden layers, optimal input, and model weights. (5) Denormalizing the data. (6) Testing the model's accuracy. The ANN simulation revealed the best network structure using a 3-40-1 configuration (3 input variables, 40 hidden layers, and 1 output). The results achieved an average error prediction accuracy of 98.6%.
THE CONTRIBUTION OF SOCIAL MEDIA LIVE STREAMING TO INCREASING IN SALES FOR SMES IN SOLO RAYA Ahmad Aufar Ribhi; Mohamad Rifqy Roosdhani; Imam Syafii
International Journal of Social Science Vol. 3 No. 4: December 2023
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/ijss.v3i4.6989

Abstract

In the increasingly advanced digital era, digital marketing has become one of the most effective and affordable marketing strategies for businesses. It has become a crucial element in modern marketing strategies to enhance consumer engagement and boost sales. One of the most widely used digital marketing platforms by Micro, Small, and Medium Enterprises (MSMEs) today is through social media channels such as Instagram, Facebook, and TikTok, utilizing the Live Stream feature where consumers can interact directly with sellers. With Social Media Live Streaming, MSMEs can expand their market reach and interact directly with customers, thereby positively impacting sales. Therefore, the aim of this research is to analyze how effective and significant the contribution of Social Media Live Streaming is in increasing sales and profits for Micro, Small, and Medium Enterprises. The research method employed in this study is qualitative, where data was collected through careful observation. This approach involved detailed descriptions within a deep context, complemented by notes from interviews, as well as the analysis of records and documents. The results of this research indicate that the use of live streaming on social media does not have a significant impact on increasing sales for SMEs in Solo Raya
Analisis Prediksi Customer Repeat Order menggunakan Algoritma Decision Tree pada Perusahaan Transportasi: Analysis of Customer Repeat Order Prediction using Decision Tree Algorithm in Transportation Company Syafii, Imam; Ribhi, Ahmad Aufar; Astutik, Liya Yuni; Budiono, Graceilla Kristia Seraphim; Pamela, Alberta Silvia
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 4 No. 4 (2024): MALCOM October 2024
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v4i4.1538

Abstract

Data merupakan inti yang tidak terpisahkan dalam pengelolaan pengembangan pelayanan yang dimiliki perusahaan. Banyak perusahaan yang tidak memanfaatkan data untuk keberlangsungan perusahaan atau meningkatkan mutu dari pelayanan perusahaan. Minimnya pemanfaatan data membuat data kurang memberikan nilai tambah terhadap suatu jasa atau pelayanan perusahaan. Oleh sebab itu, diperlukan adanya pemanfaatan data-data tersebut agar menghasilkan sebuah pengetahuan yang bermanfaat bagi perusahaan. pemanfaatan teknik data mining ini memberikan manfaat dalam pengolahan data dengan menggunakan model klasifikasi, khususnya algoritma decision tree, untuk memprediksi pelanggan yang berpotensi melakukan pemesanan ulang. Algoritma decision tree ini banyak digunakan untuk melakukan analisis prediksi karena menghasilkan keakuratan yang tinggi. Tujuan dari penelitian adalah untuk memahami layanan perusahaan yang paling diminati dan meningkatkan peluang pelanggam untuk melakukan pemesanan ulang layanan perusahaan sehingga mendapatkan manfaat dalam menaikan pendapatan perusahaan dengan menekan pengeluaran untuk pemasaran. Hasil dari penelitian menggunakan algoritma decision tree ini menghasilkan pohon keputusan dengan pengukuran accuracy sebesar 83,33%, pengukuran precision sebesar 100%, dan pengukuran recall sebesar 70%. Hasil pengukuran accuracy, precision dan recall menunjukan hasil yang baik sehingga penggunaan algoritma decision tree ini dapat dijadikan solusi untuk perusahaan guna melakukan prediksi customer repeat order.
Pemanfaatan Analitik Big Data untuk Meningkatkan Daya Saing dan Kinerja UMKM di Sukoharjo: Analisis Strategi dan Implementasi Budiono, Graceilla Kristia Sheraphim; Syafii, Imam; Ribhi, Ahmad Aufar
Jurnal Pendidikan Tambusai Vol. 9 No. 1 (2025)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v9i1.26629

Abstract

Penelitian ini bertujuan untuk menganalisis pemanfaatan analitik big data dalam meningkatkan daya saing dan kinerja UMKM di Sukoharjo, serta mengidentifikasi strategi dan hambatan dalam implementasinya. Metode penelitian yang digunakan adalah kualitatif dengan survei dan wawancara terstruktur terhadap 100 pelaku UMKM. Hasil penelitian menunjukkan bahwa meskipun mayoritas pelaku UMKM memahami konsep big data, hanya sedikit yang telah mengimplementasikannya. Manfaat yang dirasakan termasuk peningkatan efisiensi operasional, personalisasi pemasaran, dan pengambilan keputusan yang lebih tepat. Namun, kendala utama yang dihadapi adalah keterbatasan anggaran, kurangnya keterampilan dalam analisis data, dan infrastruktur teknologi yang belum memadai. Penelitian ini menyarankan dukungan kebijakan dari pemerintah, peningkatan akses terhadap pelatihan dan teknologi, serta penyediaan platform big data yang lebih terjangkau bagi UMKM untuk mempercepat adopsi dan meningkatkan daya saing UMKM.
Pemanfaatan Analitik Big Data untuk Meningkatkan Daya Saing dan Kinerja UMKM di Sukoharjo: Analisis Strategi dan Implementasi Budiono, Graceilla Kristia Sheraphim; Syafii, Imam; Ribhi, Ahmad Aufar
Jurnal Pendidikan Tambusai Vol. 9 No. 1 (2025)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v9i1.26629

Abstract

Penelitian ini bertujuan untuk menganalisis pemanfaatan analitik big data dalam meningkatkan daya saing dan kinerja UMKM di Sukoharjo, serta mengidentifikasi strategi dan hambatan dalam implementasinya. Metode penelitian yang digunakan adalah kualitatif dengan survei dan wawancara terstruktur terhadap 100 pelaku UMKM. Hasil penelitian menunjukkan bahwa meskipun mayoritas pelaku UMKM memahami konsep big data, hanya sedikit yang telah mengimplementasikannya. Manfaat yang dirasakan termasuk peningkatan efisiensi operasional, personalisasi pemasaran, dan pengambilan keputusan yang lebih tepat. Namun, kendala utama yang dihadapi adalah keterbatasan anggaran, kurangnya keterampilan dalam analisis data, dan infrastruktur teknologi yang belum memadai. Penelitian ini menyarankan dukungan kebijakan dari pemerintah, peningkatan akses terhadap pelatihan dan teknologi, serta penyediaan platform big data yang lebih terjangkau bagi UMKM untuk mempercepat adopsi dan meningkatkan daya saing UMKM.
IMPLEMENTASI SISTEM INFORMASI MANAJEMEN KEUANGAN BERBASIS WEB SEBAGAI UPAYA OPTIMALISASI PENGELOLAAN DANA ZIS (ZAKAT, INFAK, SEDEKAH) DI LAZISNU KECAMATAN LIMPUNG Laksamana Rajendra Haidar Azani Fajri; Imam Syafii; Adhitya Purboyo; Ryan Yunus
Jurnal Riset Teknik Komputer Vol. 2 No. 4 (2025): Desember : Jurnal Riset Teknik Komputer (JURTIKOM)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/mces8w27

Abstract

Currently, the Nahdlatul Ulama Zakat, Infaq, and Alms Collection Institution (LAZISNU) in Limpung District still records all donation data manually in books. This method slows down the process of preparing financial reports, often resulting in delays. Therefore, this research aims to create a web-based financial information system. It is hoped that this system will simplify and expedite the management of donation data and the creation of accurate financial reports. To create this system, researchers used the R&D (Research and Development) method, which encompasses various stages, from problem identification and design to testing and product revision. The system will be built using the PHP programming language and a MySQL database. Essentially, this new system is expected to address the problem of manual recording, making data management and financial reporting at LAZISNU Limpung faster, easier, and more accurate
IMPLEMENTASI SISTEM INFORMASI MANAJEMEN KEUANGAN BERBASIS WEB SEBAGAI UPAYA OPTIMALISASI PENGELOLAAN DANA ZIS (ZAKAT, INFAK, SEDEKAH) DI LAZISNU KECAMATAN LIMPUNG Laksamana Rajendra Haidar Azani Fajri; Imam Syafii; Adhitya Purboyo; Ryan Yunus
Jurnal Riset Teknik Komputer Vol. 2 No. 4 (2025): Desember : Jurnal Riset Teknik Komputer (JURTIKOM)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/mces8w27

Abstract

Currently, the Nahdlatul Ulama Zakat, Infaq, and Alms Collection Institution (LAZISNU) in Limpung District still records all donation data manually in books. This method slows down the process of preparing financial reports, often resulting in delays. Therefore, this research aims to create a web-based financial information system. It is hoped that this system will simplify and expedite the management of donation data and the creation of accurate financial reports. To create this system, researchers used the R&D (Research and Development) method, which encompasses various stages, from problem identification and design to testing and product revision. The system will be built using the PHP programming language and a MySQL database. Essentially, this new system is expected to address the problem of manual recording, making data management and financial reporting at LAZISNU Limpung faster, easier, and more accurate
Co-Authors Adila Safitri Ahmad Aufar Ribhi Alfan Ridha Arief Setyanto Budiono, Graceilla Kristia Seraphim Budiono, Graceilla Kristia Sheraphim Dwi Agus Diartono Kusworo Adi Laksamana Rajendra Haidar Azani Fajri Liya Yuni Astutik Mohamad Rifqy Roosdhani Mutia Ulfa Nita Ilmiyatul Lailiyah Pamela, Alberta Silvia Rafli Yunan Suryatama Ryan Yunus Suwanto Raharjo Vincensia Serenade Vioresta Steffiandry