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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JTERA (Jurnal Teknologi Rekayasa) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Best : Journal of Applied Electrical, Science and Technology Abditeknika - Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Informatika Jurnal Teknik Mesin, Industri, Elektro dan Informatika Gaster JAMU : Jurnal Abdi Masyarakat UMUS Scientica: Jurnal Ilmiah Sains dan Teknologi Journal of Information Systems Management and Digital Business Journal of Technology and System Information Journal of Computer Science and Information Technology Journal of Data Analytics, Information, and Computer Science (JDAICS) Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Aksi Kita: Jurnal Pengabdian Kepada Masyarakat Jurnal Informatika Dan Tekonologi Komputer
Indrawan Ady Saputro
STMIK AMIKOM SURAKARTA
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Pengembangan Aplikasi Berbasis Web untuk Pemetaan Penerima Zakat Menggunakan Metode K-Means Clustering Ady Saputro, Indrawan; Ady Prabowo, Iwan; Abdul Aziz, Riyan
JEKIN - Jurnal Teknik Informatika Vol. 4 No. 2 (2024)
Publisher : Yayasan Rahmatan Fidunya Wal Akhirah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58794/jekin.v4i2.721

Abstract

Zakat is an asset collected from muzaki and then distributed to those who are entitled to receive, namely 8 asnaf consisting of very poor people, people who are lacking, zakat management officers, people who have just converted to Islam, people who have a lot of debt, slaves who want to be free, travelers, and those who fight in the way of Allah. In Al-Huda Mosque, the data of zakat recipients currently only displays names, addresses, the number of family dependents, and the amount of zakat distributed. Takmir does not yet know the recipients who are entitled to zakat in large or small amounts. Therefore, an algorithm is required to streamline the grouping of data on zakat recipients in Al-Huda Mosque based on data ratios such as the number of family dependents, work, home conditions, and transportation. This study applies the K-Means Clustering method approach to group zakat recipient data. Web-based applications are developed using PHP to make it easier to manage data and grouping effectively. As a result, 7 recipients received high priority recipients, 30 medium priority recipients, and 16 low priority recipients. Testing of data clusters with the Silhouette Coefficient method showed that 4 clusters have strong structural values. For future research, additional variables can be extracted and analyzed to maximize more accurate and comprehensive grouping results
Sosialisasi Penggunaan Media Sosial yang Aman dari Bahaya Phising di Masjid Al Huda Pandeyan Saputro, Indrawan Ady; Sugiarto, Lilik; Nugraha, Febrianta Surya; Nurhidayanto, Nurhidayanto
Abditeknika Jurnal Pengabdian Masyarakat Vol. 4 No. 1 (2024): April 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/abditeknika.v4i1.3146

Abstract

  Ancaman penyebaran tindak kejahatan phishing melalui platform media sosial semakin menjadi-jadi oleh pihak-pihak yang tidak bertanggung jawab. Dampak dari kejahatan phishing dapat mencakup kerugian baik secara materiil, finansial, maupun psikologis. Oleh karena itu, sangat penting untuk mengambil langkah-langkah pencegahan guna melindungi diri dari potensi serangan phishing yang dapat terjadi. Salah satu metode yang dapat diterapkan adalah melalui kegiatan sosialisasi tentang penggunaan media sosial di Masjid Al Huda Pandeyan, bertujuan untuk memberikan perlindungan kepada jamaah dari risiko phishing. Tujuan utama dari kegiatan ini adalah menciptakan lingkungan di mana para jamaah dapat menggunakan media sosial dengan bijak dan aman, serta terhindar dari potensi bahaya kejahatan siber, termasuk phishing. Jumlah peserta dalam kegiatan sosialisasi sebanyak 25 peserta. Pendekatan yang diadopsi dalam sosialisasi ini melibatkan metode ceramah dan diskusi. Dari hasil kegiatan sosialisasi ini, bahwa sosialisasi yang telah dilakukan pada jamaah Masjid Al Huda Pandeyan mendapatkan respons positif. Dari hasil kuisioner 32% peserta menilai bahwa kegiatan tersebut berjalan dengan "baik" dan 68% menilai kegiatan tersebut "Sangat baik". Mayoritas peserta, yang sebagian besar adalah pengguna media sosial, merespon kegiatan tersebut dengan baik.     The threat of spreading phishing crimes through social media platforms is increasingly being carried out by irresponsible parties. The impact of phishing crimes can include material, financial, or psychological losses. Therefore, it is very important to take precautionary steps to protect yourself from potential phishing attacks that can occur. One method that can be applied is through socialization activities about the use of social media at Masjid Al Huda Pandeyan, aimed at providing protection to worshippers from the risk of phishing. The main goal of this activity is to create an environment where pilgrims can use social media wisely and safely, and avoid the potential dangers of cybercrime, including phishing. The number of participants in the socialization activity was 25 participants. The approach adopted in this socialization involves the method of lectures and discussions. From the results of this socialization activity, that the socialization that has been carried out at the Al Huda Pandeyan Mosque congregation received a positive response. From the results of the questionnaire, 32% of participants rated the activity "good" and 68% rated it "very good". The majority of participants, most of whom were social media users, responded well to the event.
Automated and Efficient Monitoring System for Organic Waste Compost Processing based on The Internet of Things (IoT) Sugiarto, Lilik; ady saputra, indrawan; Wariyanto Abdullah, Robi
BEST Vol 8 No 1 (2026): BEST
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/7madhs96

Abstract

In developed countries, waste has been regarded as an important component of management systems as well as reuse practices. In contrast, developing countries, particularly Indonesia, still face various challenges in waste management. Approximately 60% of the total national waste generation originates from household waste, and about 39.98% of this amount has not been optimally managed. Processing organic waste into compost is an environmentally friendly alternative that can reduce waste volume while increasing the value of household and agricultural waste. However, conventional composting methods often encounter difficulties, especially in maintaining temperature and moisture stability, causing the decomposition process to be less optimal. Based on these issues, this study aims to design and implement an automated efficiency and monitoring system for compost processing based on the Internet of Things (IoT). The developed system utilizes an ESP32 microcontroller, a soil moisture sensor for moisture measurement, a DS18B20 sensor for compost temperature monitoring, as well as an automatically controlled water pump and a 12 V DC fan. Sensor data are transmitted in real time to the Blynk platform for remote monitoring purposes. The experimental results indicate that the system is capable of maintaining moisture levels within the ideal range of 50–60% and compost temperature within the optimal range of 30–40°C, enabling the composting process to operate more stably, efficiently, and in a controlled manner.
FRAMEWORK LEARNING MANAGEMENT SYSTEM BERBASIS MICROLEARNING UNTUK MENINGKATKAN EFEKTIVITAS PEMBELAJARAN PADA PENDIDIKAN NON-FORMAL (STUDI KASUS PADA LKP) Saputro, Indrawan Ady; Aziz, Riyan Abdul; Widiyanti, Sri; Purwidiantoro, Moch Hari
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 14, No 1 (2026): Jurnal Tikomsin, Vol 14, No.1, April 2026
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v14i1.1101

Abstract

The rapid development of digital learning technologies requires innovative systems that can improve learning effectiveness, particularly in non-formal education institutions such as Training and Course Centers (LKP). However, existing learning systems often lack structured mechanisms to ensure gradual, measurable mastery of competencies. Therefore, a microlearning-based Learning Management System (LMS) integrated with a sequential mastery approach is proposed. This study aims to design and implement a microlearning-based LMS to enhance learning effectiveness in non-formal education settings. The system supports step-by-step delivery of learning to ensure progressive achievement of competency. The research methodology includes requirements analysis, system design using the Unified Modeling Language (UML), web-based implementation, and system evaluation using Black-Box Testing, the System Usability Scale (SUS), and pre- and post-test assessments. The results show that all system functions operate as intended. The usability evaluation obtained a SUS score of 78.33, categorized as Good and Acceptable. Learning effectiveness increased significantly, with an average score improvement of 25.67 points (45.03%) and an N-Gain value of 0.60 (moderate category), while achieving a 100% completion rate. In conclusion, the developed LMS is feasible and effective in improving learners’ competencies in non-formal education environments and offers a practical solution for digital learning transformation in LKP.
APLIKASI PEMANTAUAN MEJA RESTORAN UNTUK EFISIENSI OPERASIONAL DAN PENGALAMAN PELANGGAN Arriffah Ainurrohmah Azhahroh; Winanda Qoulan Syadida Syadida; Dabith Hafithuddin; Indrawan Ady Saputro
Journal of Information Systems Management and Digital Business Vol. 3 No. 1 (2025): Oktober
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70248/jismdb.v3i1.2490

Abstract

Efisiensi operasional merupakan tantangan krusial dalam industri restoran, terutama dalam manajemen meja saat jam sibuk. Penelitian ini bertujuan untuk merancang dan membangun sebuah aplikasi pemantauan meja restoran yang inovatif untuk meningkatkan efisiensi operasional dan pengalaman pelanggan. Metode pengembangan sistem yang digunakan adalah System Development Life Cycle (SDLC) model waterfall, yang meliputi tahap identifikasi masalah, desain sistem, implementasi kode, dan pengujian. Hasil utama dari penelitian ini adalah aplikasi fungsional yang mampu memvisualisasikan status meja secara real-time melalui kode warna: hijau (kosong), merah (terpakai), dan kuning (perlu dibersihkan). Aplikasi ini berhasil diintegrasikan dengan sistem kasir, di mana pembayaran pelanggan memicu notifikasi otomatis ke staf kebersihan. Hasil uji coba menunjukkan aplikasi dapat mengoptimalkan alokasi meja, mengurangi waktu tunggu pelanggan, dan meningkatkan responsivitas pelayan, serta mendapatkan umpan balik kepuasan yang tinggi dari pengguna. Aplikasi ini terbukti menjadi solusi efektif untuk memperbaiki manajemen meja di restoran.
PENGEMBANGAN SISTEM E-COMMERCE TOKO SEPATU COMPASS MARKET SOLO MENGGUNAKAN METODE HUMAN CENTERED DESIGN Adiestiana Dwi Putri Yunus; Wanda Iriana Sri Marani; Indrawan Ady Saputro
Journal of Data Analytics, Information, and Computer Science Vol. 3 No. 2 (2026): April
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70248/jdaics.v3i2.2604

Abstract

Penelitian ini mengembangkan sistem informasi untuk toko sepatu Compass Market Solo dengan menerapkan pendekatan Human Centered Design (HCD) guna meningkatkan kualitas pengalaman pengguna dalam transaksi daring. Permasalahan yang diidentifikasi adalah kurang efektifnya media penjualan serta rendahnya kenyamanan pengguna dalam menggunakan sistem yang tersedia. Dengan menggunakan metode HCD, proses perancangan dilakukan melalui lima tahap utama, yaitu memahami pengguna (empathize), merumuskan masalah (define), mengembangkan ide (ideate), membuat prototipe, dan melakukan pengujian. Teknik seperti wawancara, observasi, dan evaluasi prototipe diterapkan untuk menggali kebutuhan nyata pengguna. Hasil penelitian menunjukkan bahwa sistem yang dibangun memberikan kemudahan dalam navigasi, tampilan yang lebih ramah pengguna, serta proses pembelian yang lebih efisien. Selain itu, sistem ini mampu menyesuaikan dengan karakteristik dan preferensi konsumen lokal, baik dari aspek tampilan visual maupun alur interaksi. Kesimpulannya, pendekatan berbasis pengguna seperti HCD terbukti efektif dalam mendukung pengembangan sistem digital, khususnya pada sektor usaha mikro, kecil, dan menengah (UMKM) yang ingin bertransformasi secara digital.
PEGEMBANGAN SISTEM E-COMMERCE TOKO ROTI WONDER BERBASIS METODE AGILE Wanda Iriana Sri Marini; Adestiana Dwi Putri Yunus; Indrawan Ady Saputro
Journal of Data Analytics, Information, and Computer Science Vol. 2 No. 3 (2025): Juli
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70248/jdaics.v2i3.2673

Abstract

Toko Roti Wonder merupakan salah satu industri menengah yang berada di Kota Solo dan memproduksi serta sekaligus menjual berbagai macam jenis roti. Dalam proses jual-beli selama ini masih secara konvensioanl atau manual, yaitu para pelanggan datang langsung ke toko. Tujuan penelitian ini adalah untuk membuat suatu sistem aplikasi- e-commerce pada Toko Roti Wonder yang berbasis metode Agile, yang terdiri dari empat tahap: Studi Pendahuluan, Perencanaan, Pengembangan, dan Evaluasi. Untuk membuat sistem yang dapat memenuhi kebutuhan pengguna, maka dibutuhkan respon langsung dan kebutuhan pengguna. Hasil pengujian menunjukkan bahwa sistem e-commerce dengan metode Agile untuk Toko Roti Wonder memenuhi Sebagian besar kebutuhan pengguna. Maka dari itu untuk mendapatkan hasil setiap sprint yang komprehensif tentang kinerja sistem, disarankan untuk penelitian lebih lanjut dan melakukan uji sistem dengan melibatkan pengguna.
Pelatihan Organic Marketing Bagi Pengelola Obyek Wisata Janti Park Kabupaten Klaten Riyan Abdul Aziz; Indrawan Ady Saputro; Tinuk Agustin; Ina Sholihah Widiati; Sri Widiyanti
Aksi Kita: Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 1 (2026): JANUARI-FEBRUARI
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/wv87tx84

Abstract

Organic marketing merupakan sebuah strategi pemasaran digital yang dilakukan untuk mengoptimalkan jumlah konten dan kualitas konten. Tantangan dari penerapan organic marketing adalah konsistensi dalam membuat konten yang akan di opimalkan, inkonsistensi inilah yang dialami oleh pengelola obyek wisata janti park. Dengan dilakukan pelatihan organic marketing diharapkan inkonsistensi yang dialami tim marketing dapat terselesaikan. Hasil dari kegiatan ini didapatkan total sembilan ide konten yang telah diupload pada media sosial resmi janti park, setelah dilakukan monitoring dan evaluasi selama dua bulan didapatkan jumlah view pada setiap konten meningkat rata-rata 1000 view. Media digital berupa website telah diperbarui dengan tampilan yang lebih baik. Hasil wawancara didapatkan bahwa pengetahuan dan kemampuan tim marketing online dan tim admin dalam mencari ide konten, menerapkan teknik seo, menerapkan teknik copywriting dan mengelola konten menggunakan content planner spreadsheet meningkat.
Perancangan UI/UX Aplikasi Debt Note dengan Metode Design Thinking Muhammad Khairul Faizi Islamy; Faris Afada; Ranu Arva Adristiawan; Indrawan Ady Saputro
Journal of Technology and System Information Vol. 2 No. 4 (2025): October
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jtsi.v2i4.4905

Abstract

The rapid development of technology has encouraged digitalization in various aspects of life, including in the case of financial records. One of the problems that is often faced is debt recording which is still traditionally carried out using paper media, which is vulnerable to damage, loss, and manipulation of data. To answer this challenge, the Debt Note application is designed to make it easier to record debts digitally. The design of this application uses a method called Design Thinking which includes five stages, namely Empathize, Define, Ideate, Prototype, and Testing. This research aims to develop an easy-to-use application, especially for store owners, in order to manage debt data better and efficiently. The results of the feasibility test using the System Usability Scale (SUS) method show an average score of 90, which is included in the Excellent category, reflecting a high positive response from users to the application. The Debt Note application provides various features such as debt recording, repayment, and mobile-based data management with an intuitive and efficient interface design. The designer hopes that this application can be implemented in various areas of the store and can reduce the level of loss and damage in a debt recording data that causes quarrels between store owners and buyers.
Evaluating Steganography Detection in JPEG Images Using Gaussian Mixture Model and Cryptographic Keys Indrawan Ady Saputro; Febrianta Surya Nugraha; Lilik Sugiarto; Iwan Ady Prabowo
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 6 (2025): December 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i6.6084

Abstract

This study introduces a novel approach that integrates Gaussian Mixture Models (GMM) with MD5 hash-based verification to detect hidden messages embedded via Least Significant Bit (LSB) steganography in JPEG images. Unlike previous methods, the proposed dual-layer technique combines probabilistic modeling with data integrity verification. The model was trained and evaluated using a dataset comprising both original and stego-JPEG images. The experimental results achieved an accuracy of 78.67% and a precision of 89.15%, indicating good class separation between stego and non-stego images (AUC-ROC = 0.8659). However, the recall rate of 69.70% suggests that there is room for improvement in detecting all stego instances. Although MD5 is a hash function rather than an encryption algorithm, it effectively aids in identifying data anomalies resulting from message embedding. Overall, this lightweight approach offers a practical solution for steganalysis and can be further enhanced through the integration of hybrid deep learning techniques in future research.
Co-Authors Abdul Aziz, Riyan Adestiana Dwi Putri Yunus Adiestiana Dwi Putri Yunus Ady Prabowo, Iwan Arriffah Ainurrohmah Azhahroh Aszhar Mahesakayun Aziz, Riyan Abdul Dabith Hafithuddin Dewi Sri Rahayu Faris Afada Febrianta Surya Nugraha Febrianta Surya Nugraha Febry Mustika Wati Fiqhi Akbar Hudhayana Hadis Turmudi Ina Sholihah Widiati, Ina Sholihah Iwan Ady Prabowo Latifah Nurul Habibah Lilik Sugiarto Maulina, Rufidah Moch Hari Purwidiantoro, Moch Hari Muhammad Khairul Faizi Islamy Nugroho Ridho Harjanto Nurhidayanto, Nurhidayanto Pangesti , Oktafian Dyah Prasetiya, Bayu Ade Purwidiantoro, Moch. Hari Rahmadi, Mochammad Luthfi Ranu Arva Adristiawan Riyan Abdul Aziz Riyan Abdul Aziz Robi Wariyanto Abdullah Siska Ningtyas Prabasari Sri Widiyanti Sugiarto, Lilik Suryawati, Liling Daru Susanti, Anggi Tinuk Agustin Tinuk Agustin Wanda Iriana Sri Marani Wanda Iriana Sri Marini Wibowo, Alfian Nur Widianti, Ina Sholihah Widiyanti, Sri Widiyanto Hadi Winanda Qoulan Syadida Syadida Yesika Ayu Yuliana Yudam, Zaky Zulfahmi