Research Publications

Authors

Zalzabila, Izzahara ; Erick Irawadi, Alwi; Fattah, Farniwati, Universitas Muslim Indonesia

Abstract

The advancement of technology has increased convenience in various daily activities, but it has also heightened the potential for misuse in criminal acts such as fraud, corruption, theft, and the dissemination of hoax information. Digital evidence, including files, images, audio, and video, often plays a crucial role in criminal investigations. Each type of digital evidence requires a specific analytical method, one of which is audio forensics. Audio forensics is a sound analysis method aimed at enhancing speech clarity and reducing noise, thereby providing important clues in investigative processes. Tools such as Praat are used to compare allegedly manipulated voice recordings with original voice samples. This study aims to identify digital evidence in the form of voice recordings using Praat and audio forensic methods. By analyzing voice characteristics such as pitch, formant, and spectrogram, this research seeks to determine the similarity between evidentiary recordings and reference samples as well as to perform audio enhancement. The results indicate that in the pitch analysis stage, the samples of Yuki, Sakinah, Sonia, Marwah, and Salsa were identical to the evidence recordings. Furthermore, formant analysis revealed that the samples of Yuki, Sonia, and Salsa were identical to the evidence, while spectrogram analysis showed that only the Salsa sample matched the evidence recordings.

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Authors

Sari, Risa Hasmila; Harlinda; Syahar, A. Ulfah Tenripada, Universitas Muslim Indonesia

Abstract

Perkembangan teknologi informasi mendorong pemanfaatan website sebagai media penyampaian informasi yang efektif, termasuk pada bidang jasa event organizer. Namun, penyampaian informasi yang masih tersebar melalui media sosial seringkali menyebabkan pengguna kesulitan dalam memperoleh informasi yang lengkap, terstruktur, dan mudah dipahami. Penelitian ini bertujuan untuk merancang User Interface (UI) dan User Experience (UX) pada website Searah Management sebagai media informasi layanan event organizer dengan menggunakan metode Design Thinking yang meliputi tahapan empathize, define, ideate, prototype, dan testing. Pengumpulan data dilakukan melalui observasi dan wawancara kepada calon klien serta pengguna yang pernah menggunakan jasa event organizer. Hasil analisis menunjukkan bahwa pengguna membutuhkan media informasi yang terpusat, jelas, dan mudah diakses. Selain itu, sistem juga dirancang dengan halaman admin yang berfungsi untuk mengelola dan memperbarui informasi seperti layanan dan galeri kegiatan. Prototipe dibuat menggunakan Figma dan diuji menggunakan platform Maze serta kuesioner skala Likert. Hasil pengujian menunjukkan skor Maze sebesar 84 pada sisi pengguna dan 96 pada sisi admin, serta mayoritas responden memberikan penilaian positif terhadap kemudahan penggunaan dan kejelasan informasi. Dengan demikian, rancangan website yang dikembangkan mampu membantu pengguna dalam memperoleh informasi secara efektif serta memudahkan admin dalam mengelola konten website

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Authors

Hidayat, David ; As’ad, Ihwana ; Syahar, A. Ulfah Tenripada, Universitas Muslim Indonesia

Abstract

Penelitian ini bertujuan untuk menganalisis tingkat kepuasan pengguna terhadap Sistem Informasi SIFAISAL pada unit PPK IRWA I BBWS Pompengan Jeneberang. SIFAISAL digunakan untuk verifikasi pertanggungjawaban anggaran kegiatan kontraktual, namun belum pernah dilakukan evaluasi pasca implementasi. Penelitian ini menggunakan kerangka kerja PIECES yang terdiri dari enam variabel: Performance, Information, Economy, Control, Efficiency, dan Service. Metode penelitian yang digunakan adalah deskriptif kuantitatif dengan menyebarkan kuesioner kepada 44 responden yang ditentukan melalui rumus Slovin. Hasil penelitian menunjukkan bahwa tingkat kepuasan pengguna berada pada kategori" Puas" untuk variabel Performance (4, 00), Information (4, 15), dan Economy (4, 05). Sementara itu, variabel Control (4, 20), Efficiency (4, 29), dan Service (4, 24) berada pada kategori" Sangat Puas". Secara keseluruhan, sistem SIFAISAL telah memenuhi kebutuhan pengguna dalam mendukung proses administrasi anggaran, meskipun tetap memerlukan pemeliharaan rutin untuk menjaga stabilitas kinerja sistem.

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Authors

Nengsih, Ratika; Kasim, Sinta; Syahar, A. Ulfah Tenripada, Universitas Muslim Indonesia

Abstract

Desa Garaupa Raya di Kabupaten Kepulauan Selayar menghadapi tantangan ekonomi sebagai wilayah pesisir terpencil dengan infrastruktur terbatas dan potensi kelapa yang belum dimanfaatkan optimal. Program pemberdayaan masyarakat ini bertujuan meningkatkan kemandirian ekonomi keluarga melalui produksi Virgin Coconut Oil (VCO) berbasis nilai Islam dan kearifan lokal. Program melibatkan dua mitra utama: PKK dengan 22 anggota aktif dan Karang Taruna dengan 10 anggota. Menggunakan pendekatan Participatory Action Research, kegiatan dilaksanakan melalui lima tahap: sosialisasi, pelatihan teknis dan manajerial, penerapan teknologi tepat guna, monitoring dan evaluasi, serta perencanaan keberlanjutan. Program menyediakan alat pemeras santan semi-hidrolik, wadah fermentasi, dan pelatihan pemasaran digital. Hasil menunjukkan peningkatan signifikan: kapasitas produksi meningkat dari 1-2 liter menjadi 5-10 liter per bulan, 90% anggota menguasai pembukuan sederhana, dan produk dipasarkan melalui platform TikTok dan Shopee dengan merek" Garaupa Raya VCO". Program berhasil mentransformasi masyarakat dari ekonomi subsisten menjadi wirausaha produktif berbasis nilai Islam dan kearifan lokal, berkontribusi pada pencapaian SDGs 1, 5, 8, dan 12.

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Authors

Arifin, Fadil Abdillah; Nurana, Sitti ; Syahar, A. Ulfah Tenripada, Universitas Muslim Indonesia

Abstract

Kelompok kader merupakan anggota masyarakat yang ikut berperan dalam pembangunan desa dalam berbagai aspek, termasuk kesehatan gigi dan mulut. Desa Tellumpoccoe memiliki kelompok kader aktif yang berjumlah 25 orang namun belum pernah mendapatkan penyuluhan/pelatihan mengenai kesehatan gigi. Hal ini selaras dengan tingginya kunjungan poli gigi Puskesmas Marusu, masyarakat yang datang memiliki keluhan gigi berlubang yang perlu perawatan penambalan ataupun pencabutan. Sehingga dapat dikatakan status kesehatan gigi dan mulut masyarakat Desa Tellumpoccoe cukup rendah. Untuk mengatasi hal ini tim pengabdian kepada masyarakat ingin memberdayakan kelompok kader untuk kemudian dibekali dengan berbagai edukasi mengenai metode pencegahan gigi berlubang serta hubungannya dengan kualitas hidup penderita, dalam rangka mendukung program pemerintah Indonesia Bebas Karies 2030. Selain itu, kelompok kader juga akan diperkenalkan dengan inovasi teknologi augmented reality yang akan digunakan sebagai media penyuluhan. Kelompok kader juga akan dibekali dengan keterampilan dan manajemen penyuluhan yang baik, sehingga nantinya kelompok kader dapat menyelenggarakan kegiatan penyuluhan secara mandiri, konsisten, dan berkelanjutan. Hasil dari kegiatan ini menunjukkan adanya peningkatan pada aspek sosial kemasyarakatan dan aspek manajemen. Terjadi peningkatan pengetahuan kelompok kader sebagai mitra mengenai kesehatan gigi dan mulut serta peningkatan kemampuan mitra dalam menyelenggarakan kegiatan penyuluhan secara mandiri.

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Authors

Ihsan, Muhammad, Alwi, Irawadi Erick, Salim, Yulita, Universitas Musllim Indonesia

Abstract

Identity management in higher education still generally relies on physical cards and centralized systems that are vulnerable to loss, forgery, and limited independent verification. This study aims to design and implement a blockchain-based digital student identity card system that supports integrated credential issuance, verification, and revocation. The study uses the Design Science Research Methodology (DSRM) through the stages of problem identification, design, prototype development, demonstration, and evaluation. The system is built using a hybrid architecture, in which student identity data are stored off-chain, while credential hashes and revocation status are recorded on-chain through a smart contract deployed on the Polygon Amoy Testnet. Credentials are issued in the form of JWT-based Verifiable Credentials and signed using the ES256K algorithm. The test results show that the system successfully implements its main functions, namely credential issuance, verification, and revocation. Performance testing also shows that verification can be carried out without incurring gas costs and with a response time that remains feasible for practical use. Overall, the developed system is feasible to support digital student identity services with better credential integrity and easier verification.

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Authors

Asran, Asran; Alwi, Erick Irawadi; Azis, Husain, Universitas Muslim Indonesia;

Abstract

Steganografi berfungsi sebagai teknik anti-forensik yang memungkinkan pelaku kejahatan menyembunyikan informasi dalam pesan lain, hal tersebut dapat menyulitkan penyelidik untuk menemukan bukti sebenarnya atas suatu kejahatan. Oleh karena itu, penyelidik harus mengenali dan memanfaatkan alat yang tepat untuk ekstraksi guna mengakses pesan yang melibatkan steganografi. Penelitian ini bertujuan untuk menganalisis bukti digital dengan menerapkan metode forensik statis berdasarkan kerangka kerja yang disiapkan oleh National Institute of Standards and Technology (NIST), penelitian ini juga berfokus pada proses ekstraksi file yang disusupi menggunakan steganografi, yang dilakukan berdasarkan skenario kejahatan. Alat yang dipakai dalam penelitian ini mencakup FTK Imager, Autopsy, HashMyFiles, USB Write Blocker, WinHex, Stegspy, serta InvisibleSecrets. Analisis proses ekstraksi menunjukkan bahwa, dari 10 file yang diperiksa sesuai dengan skenario kasus, 9 file berhasil diekstraksi dan menghasilkan tingkat keberhasilan sebesar 90%. Sebaliknya, 10% file yang tersisa tidak berisi data atau informasi tersembunyi yang relevan. Dari hasil tersebut dapat disimpulkan bahwa file steganografi yang berhasil diekstrak dapat dijadikan sebagai alat bukti materiil hukum yang sah.

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Authors

Shantika, Shantika; Alwi, Erick Irawadi; Mansyur, St Hajrah, Universitas Muslim;

Abstract

Inventory management at Bengkel Tho’Bone was previously conducted manually, which often resulted in data inconsistencies, delays in stock monitoring, and difficulties in generating accurate inventory reports. This study aims to design a web-based inventory management system using the Agile method as a software development approach to improve efficiency and accuracy in stock management. The study applies the CodeIgniter framework as the system development framework because it adopts the Model–View–Controller (MVC) architecture, which facilitates the separation of business logic, user interface, and data processing. The system development process is carried out through the stages of planning, design, development, testing, and evaluation, which are performed repeatedly according to user requirements. The system is designed to assist administrators and staff in managing item data, suppliers, as well as incoming and outgoing stock transactions. The results show that the developed system is capable of automating stock recording, providing restock notifications when inventory reaches the minimum threshold, and generating structured and easily accessible inventory reports. The implementation of this system improves operational efficiency, reduces human error, and enhances transparency in inventory management. Overall, the application of a web-based inventory management system using the Agile approach and the CodeIgniter framework has proven effective in optimizing inventory control and supporting accurate decision-making at Bengkel Tho’Bone.

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Authors

Malla, Agussalim Beddu; Abdullah, Syahrul Mubarak, Ibrahim, Bahtiar, Universitas Muslim Indonesia;

Abstract

This Community Service Program (PkM) aims to empower Islamic boarding school students (santri) through innovation in free-range chicken farming based on local feed and digital marketing as a step towards establishing an eco-green pesantren. The background of this activity lies in the great potential of pesantren as centers of education as well as drivers of community-based economic independence. However, the limited knowledge of santri in managing chicken farming and utilizing digital technology for marketing remains a challenge. The method applied includes education, technical training on free-range chicken farming with environmentally friendly local feed, production management assistance, and training in digital marketing through social media and online marketplaces. The results of the program indicate improved skills of santri in managing free-range chicken businesses, utilization of local feed ingredients that are more economical and sustainable, and the development of digital marketing strategies that expand market reach. The implementation of this program not only enhances the economic independence of santri but also supports the eco-green pesantren concept, which emphasizes environmental sustainability and technology-based entrepreneurship development

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Authors

Hakim, Nurul; Anraeni, Siska; St Hajra, Universitas Muslim Indonesia;

Abstract

Heat stress is a significant health problem in tropical work environments such as Indonesia, which can have serious physical and cognitive effects on workers. This study aims to implement the Certainty Factor method in a web-based expert system to address the uncertainty of clinical symptoms in accurately diagnosing heat stress conditions. System knowledge was acquired from general practitioners covering 7 types of diseases and 35 clinical symptoms. The research methods included knowledge acquisition, knowledge modeling, method implementation, and accuracy testing. The evaluation was conducted by comparing the system's diagnosis results with 20 test cases validated by experts. The results showed that the system successfully identified 18 cases correctly and 2 cases incorrectly. Based on these results, this expert system has an accuracy rate of 90%. This accuracy achievement is competitive and in line with previous studies that implemented the Certainty Factor in other health domains. It is concluded that the implementation of this method is feasible and effective in providing an initial diagnosis of heat-related illnesses, thereby assisting healthcare workers and workers in high-risk environments in making appropriate treatment decisions.

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Authors

Marlang, Muh Fatwah Fajriansyah; Darwis, Herdianti; Azis, Huzain; Manga, Abdul Rachman, Universitas Muslim Indonesia;

Abstract

Speech in the Bugis-Makassar dialect poses a major challenge for Automatic Speech Recognition (ASR) systems, particularly in detecting clitic particles that are essential to utterance meaning but do not exist in standard Indonesian. This study investigates the effect of synthetic speech data augmentation using OpenAI's gpt-4o-mini-tts on ASR performance for this dialect, testing four ratios of synthetic-to-real data (0%, 50%, 100%, and 150%) through fine-tuning of the wav2vec2-large-xlsr-indonesian model. Evaluation was conducted using Word Error Rate (WER), Character Error Rate (CER), and Particle Detection Rate (PDR) as a dedicated metric for clitic particle detection. Results show that augmentation at a 50% ratio produced consistent improvements across all metrics compared to baseline, with WER decreasing by 3.47 percentage points and PDR increasing by 3.62 percentage points. Further increases in

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Authors

Lahuddin, Harlinda, Program Studi Sistem Informasi, UniversitasMuslim Indonesia, Makassar, Indonesia.; Astuti, Wistiani, Program Studi Teknik Informatika, Universitas Muslim Indonesia, Makassar, Indonesia.

Abstract

Program Pelatihan Computational Thinking dan Problem Solving untuk Generasi Muda Kedah dilaksanakan sebagai respons terhadap rendahnya literasi digital di daerah rural Malaysia, khususnya di Sekolah Kebangsaan Ulu Sedaka, Yan, Kedah. Tujuan program adalah membekali siswa dengan keterampilan berpikir komputasi yang mencakup decomposition, pattern recognition, abstraction, dan algorithmic thinking sebagai fondasi menghadapi era digital. Metode pelaksanaan meliputi baseline assessment, workshop interaktif, hands-on activities, serta evaluasi melalui pre-test dan post-test. Sebanyak 30 siswa dan 5 guru terlibat aktif dalam program selama 12 minggu. Hasil evaluasi menunjukkan peningkatan signifikan pemahaman computational thinking dari skor rata-rata 45,2 menjadi 78,6 dengan peningkatan 73,9 persen. Tingkat partisipasi mencapai 93,3 persen dengan kepuasan peserta 4,5 dari skala 5. Program berhasil mengembangkan modul pembelajaran digital dan panduan aplikasi yang dapat digunakan berkelanjutan. Kesimpulan menunjukkan bahwa pendekatan pembelajaran interaktif berbasis unplugged activities efektif meningkatkan kemampuan berpikir logis siswa di daerah dengan keterbatasan infrastruktur teknologi, serta memberikan dampak positif terhadap minat siswa pada bidang STEM dan kesiapan menghadapi transformasi digital.

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Authors

Manga, Abdul Rachman; Suat, Wahyu Kadri Rahmat; Azis, Huzain, Universitas Muslim Indonesia;

Abstract

SQL Injection (SQLi) remains a critical cybersecurity threat because it exploits vulnerabilities in user input validation and can compromise the confidentiality, integrity, and availability of information systems. This study compares Long Short-Term Memory (LSTM) and Convolutional Neural Network (CNN) architectures for detecting malicious SQL queries under identical experimental conditions. Method A publicly available dataset containing 148,327 malicious and benign SQL query instances was preprocessed through missing-value removal, label encoding, tokenization, sequence transformation, padding, and embedding representation. LSTM and CNN models were evaluated using three train-test split scenarios of 70:30, 80:20, and 90:10. Performance was assessed using accuracy, precision, recall, F1-score, and confusion matrices, with the 80:20 split selected for detailed evaluation. Results and Discussion LSTM consistently achieved higher accuracy across the evaluated splits, ranging from 97.84% to 98.00%. Under the 80:20 configuration, LSTM achieved 97.86% accuracy, 99.34% precision, 96.55% recall, and a 97.92% F1-score, compared with CNN at 97.00%, 97.68%, 96.56%, and 97.12%, respectively. LSTM also reduced false positives from 356 to 99, demonstrating better discrimination between legitimate and malicious queries. Conclusion LSTM provides more reliable SQL Injection detection than CNN by better capturing sequential dependencies within SQL query structures, making it a promising approach for practical cybersecurity systems

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Authors

Syaifuddin, Muhamad Faza Almaliki; Nurrifqhi, Arian; Fadilah, Nur; Ramadhan, Ahmad Mufli; Manga, Abdul Rachman; Rakasyah, Athar Fathana; Taqwa, Abd Salam At; Ilmawan, Lutfi Budi; Ahmad; Khawaritzmi Abdallah, Universitas Muslim Indonesia;

Abstract

Perkembangan teknologi informasi, kecerdasan buatan (Artificial Intelligence), dan analisis data telah membawa perubahan besar dalam berbagai sektor kehidupan, mulai dari pendidikan, kesehatan, industri, transportasi, keuangan, hingga pemerintahan. Di tengah perkembangan tersebut, Machine Learning hadir sebagai salah satu cabang kecerdasan buatan yang memiliki kemampuan untuk mempelajari pola dari data dan menghasilkan prediksi maupun keputusan secara otomatis. Kemampuan ini menjadikan Machine Learning sebagai teknologi yang sangat penting dalam menghadapi tantangan era digital dan revolusi industri modern.

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Authors

Gobel, Fatmah Afrianty; Satra, Ramdan; Zakira, Putri; Zalsasabilah, Putri, Universitas Muslim Indonesia;

Abstract

Situs website dapat memberikan akses yang mudah dan aman bagi remaja khususnya santri untuk edukasi, konsultasi, dan memberikan informasi komprehensif serta meningkatkan pengetahuan dan kesadaran dalam pencegahan perilaku berisiko tertular HIV/AIDS di lingkungan santri. Santri merupakan remaja usia yang relatif rentan terpapar informasi dari berbagai platform media sosial. Penelitian ini bertujuan mengetahui pengaruh edukasi menggunakan website terhadap pengetahuan, sikap dan tindakan santri dalam upaya pencegahan HIV/AIDS. Metode penelitian quasi eksperimen dengan kelompok perlakuan dan kelompok kontrol. Populasi adalah santri pondok Pesantren Darul Aman Gombara Kota Makassar, sampel diambil secara purposive sampling sebanyak 20 orang kelompok perlakuan dan 20 orang kelompok kontrol. Kedua kelompok mengisi kuesioner pre test dan post test. Hasil penelitian memperlihatkan intervensi edukasi menggunakan website pada santri terbukti efektif meningkatkan pengetahuan dan sikap, sedangkan tindakan tidak menunjukkan perubahan signifikan.

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Authors

Machmud, Fikri Ramadhan; Satra, Ramdan; Mansyur, Hajrah, Universitas Muslim Indonesia;

Abstract

The Traditional Clothing Information System as an Icon of the Archipelago is designed to help communities throughout Indonesia overcome the obstacles in recognizing and learning about traditional clothing, its historical value and meaning in this digital era. Development is carried out according to the RAD principle, including Requirements Planning, System Design, Development Process and Feedback Collection, and Product Implementation and Completion. Testing using blackbox testing and questionnaires shows that this application is easy to use, effective, and attractive to the community. A web evaluation with 10 respondents was also conducted. The results show that respondents gave a positive assessment of the ease of use and design of the application. Of the 50 answers, 48% of respondents stated "Strongly Agree", 40% "Agree", 12% "Neutral", and 0% for "Disagree" and "Strongly Disagree". The average rating is 4.5 on a scale of 5.

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