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All Journal Teika Infotech Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) IJIS - Indonesian Journal On Information System Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Ilmiah Media Sisfo JOURNAL OF SCIENCE AND SOCIAL RESEARCH JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Tekinkom (Teknik Informasi dan Komputer) BERNAS: Jurnal Pengabdian Kepada Masyarakat Journal of Advanced in Information and Industrial Technology (JAIIT) Jurnal Teknologi Informasi dan Komunikasi Jurnal Teknik Informatika (JUTIF) Jurnal Teknimedia: Teknologi Informasi dan Multimedia Jurnal Mandala Pengabdian Masyarakat Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Bulletin of Information Technology (BIT) Batara Wisnu : Indonesian Journal of Community Services PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Buletin Ilmiah Informatika Teknologi JAMU : Jurnal Abdi Masyarakat UMUS Innovative: Journal Of Social Science Research Jurnal Ilmiah Sistem Informasi Software Development Digital Business Intelligence and Computer Engineering Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Management of Information System Journal Pustabiblia: Journal of Library and Information Science
Mochammad Darip
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Decision Support System Evaluasi Tingkat Keberhasilan UMKM Menggunakan Weighted Scoring Method Prio Kustanto; Mochammad Darip; Sigit Auliana
Management of Information System Journal Vol 4 No 3: Juli 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/mis.v4i3.3099

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in driving regional economic growth, yet most business owners still face challenges in objectively evaluating their business conditions. The assessment process, which relies heavily on experience and intuition, often results in business decisions not being supported by measurable information. This study aims to develop a web-based Decision Support System (DSS) to evaluate the success rate of MSMEs using the Weighted Scoring Method. The study employed a Research and Development (R&D) approach, encompassing needs analysis, system design, method implementation, and application testing. The evaluation process involved six key indicators, weighted according to their importance, then calculated to produce a final score, classified into three success levels: high, medium, and low. The results showed that the system was able to automate the evaluation process, consistently display success rate classifications, and generate reports in PDF format to document the assessment results. Testing using real MSME data demonstrated that the system's calculations were consistent with manual calculations based on the applied method. The developed system is expected to assist MSMEs in conducting more systematic business evaluations and support local governments in the development and data-driven decision-making process.
Implementasi Support Vector Machine (SVM) Untuk Deteksi Serangan Jaringan Pada Sistem Keamanan Jaringan Kampus Mochammad Darip; Asep Sapaatullah; Rahmat Rahmat
Bulletin of Information Technology (BIT) Vol 7 No 1: Maret 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v7i1.2602

Abstract

Network security in campus environments faces increasingly complex challenges due to the rapid growth of internet usage, digital academic systems, and the large number of devices connected to the network. One of the main problems is the limitation of conventional security systems in detecting new or anomalous network attacks. Traditional systems generally rely on predefined attack signatures, making them ineffective against previously unknown attacks. Therefore, this study proposes a solution by implementing the Support Vector Machine (SVM) method for automatic network attack detection. The research method includes the collection of campus network traffic data, data preprocessing stages such as data cleaning, normalization, and feature selection, SVM model training, and performance evaluation using confusion matrix and ROC curve. The results show that the SVM model is able to classify normal traffic and attack traffic with very high accuracy. These findings indicate that SVM is an effective method for intrusion detection and can significantly enhance campus network security in an adaptive and efficient manner.
FuelGuard: Fuel Consumption Anomaly Detection and Visual Verification in Logistics Using Isolation Forest, CBIR, and OCR Auliana, Sigit; Permana, Basuki Rakhim Setya; Darip, Mochammad; Roy, Sujan Chandra
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 6 (2025): JUTIF Volume 6, Number 6, Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.5276

Abstract

Manual fuel reporting in Indonesian logistics companies, such as PT Balaraja Distribusindoraya, often leads to inefficiency, fraud, and lack of anomaly supervision. This research aims to develop a web-based system that integrates machine learning and computer vision to monitor fuel consumption and detect anomalies in logistics fleets. The proposed system employs Isolation Forest for unsupervised anomaly detection based on fuel volume, travel distance, and fuel ratio, combined with a deep learning–based CBIR module using MobileNetV2 to validate fuel station images, and OCR to extract numerical data from receipts. Following the CRISP-DM methodology, the model was trained and deployed through a Flask-based API and evaluated using black-box and white-box testing. Experimental results show that Isolation Forest achieves the highest anomaly detection performance (F1-Score = 0.81, ROC-AUC = 0.99), CBIR validates official fuel stations with ≥95% similarity, and OCR reaches 97% accuracy in receipt recognition. The novelty of this study lies in its hybrid integration of anomaly detection and visual verification within a single scalable platform. This research contributes to Informatics by providing a framework for hybrid anomaly detection systems that enhance digitalization, transparency, and operational efficiency in the logistics sector.
Optimalisasi Fuzzy Logic System Dalam Identifikasi Kematangan Buah Semangka Maman; Mochammad Darip
BETRIK Vol. 17 No. 01 (2026): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/280dyy31

Abstract

In watermelon cultivation, determining the right time to harvest is very important because it will affect the quality and selling value. Generally, farmers use various methods to determine the ripeness of watermelon, such as observing changes in skin color, tapping the fruit to listen to the sound it makes, and estimating the age of harvest based on the planting date. Although these methods have been used for many years by farmers, they rely heavily on experience and intuition, which can result in high variability and uncertainty in determining maturity. Modern technological developments offer more scientific and accurate solutions. One approach that can be used is to use fuzzy logic. Fuzzy logic is a computational method that is able to handle uncertainty and imprecision, which is very suitable for applications in the agricultural sector where many variables are difficult to measure with certainty. This research will examine how harvest age and tapping sound can be integrated in a fuzzy logic system to determine the ripeness of watermelon more scientifically and accurately. The research results show that the implementation of the fuzzy logic system in optimizing the identification of watermelon ripeness was successfully integrated into a programming language to produce a software with fuzzy algorithm method stages based on two parameter variables, namely harvest age and the sound produced when a watermelon is tapped (decibels).
Implementasi Algoritma Round Robin Untuk Pengaturan Jam Kerja Karyawan PT. Fasih Timber Sunardi; Eris Purnama; Mochammad Darip
BETRIK Vol. 17 No. 01 (2026): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/4hyp8a81

Abstract

This study aims to implement the Round Robin algorithm to optimize employee working hours at PT Fasih Timber, a plywood manufacturing company. The main challenges faced are limited manpower in the mechanical department and shipping warehouse, as well as high overtime costs due to inefficient schedule management. The Round Robin algorithm is applied to ensure fair and flexible work distribution in the face of unexpected situations. The research method includes analyzing company needs through interviews, observations, and simulation of work data with software. The results of the study show that the implementation of the Round Robin algorithm can reduce overtime costs, increase time efficiency, and create a fairer work environment. This technology-based scheduling system also provides optimal schedule recommendations and supports digital transformation steps in companies with an efficiency value of 90%, effectiveness of 86%, and satisfaction of 80%. Thus, this approach can be an innovative solution for human resource management in the manufacturing industry sector.
IMPLEMENTASI HYBRID ENCRYPTION DENGAN HMAC PADA SISTEM PENGADUAN MASYARAKAT DI DESA SINGARAJAN KABUPATEN SERANG Mahbub Ahwani; Ahmad Munawir; Mochammad Darip
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 4 (2026): August 2026 (1)
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i4.6794

Abstract

Abstract: Advances in information technology are driving the digitization of public services, including public complaint handling at the village level. The complaint process in Singarajan Village is still carried out manually, resulting in ineffective documentation, difficulty in monitoring follow-up actions on complaints, and potential risks to data confidentiality and integrity. This study aims to develop a mobile-based public complaint system capable of improving the effectiveness of complaint management while ensuring data security through a combination of the RSA and AES-256-CBC algorithms and HMAC-SHA256 authentication. The research method used is a mixed-methods approach, with the system development phase following the SDLC Waterfall model, including requirement analysis, design, coding, testing, and maintenance. System testing was conducted using Black Box Testing to evaluate the application’s functionality and the System Usability Scale (SUS) to measure usability. The research results show that all major system functions operate as intended; the hybrid encryption process successfully maintains the confidentiality of complaint data, while HMAC is able to verify data integrity during the communication process. The SUS test results yielded an average score of 61.33, which falls into the “Marginal Acceptable” category with a grade of D; thus, the application is deemed usable, although it still requires improvement in terms of ease of use. Keywords: Complaint System; Hybrid Encryption; RSA; AES-256-CBC; HMAC-SHA256; Waterfall SDLC.   Abstrak: Perkembangan teknologi informasi mendorong digitalisasi layanan publik, termasuk pelayanan pengaduan masyarakat di tingkat desa. Proses pengaduan di Desa Singarajan masih dilakukan secara manual sehingga menyebabkan pendokumentasian kurang efektif, tindak lanjut pengaduan sulit dipantau, serta berpotensi menimbulkan risiko terhadap kerahasiaan dan integritas data. Tujuan penelitian ini ialah mengembangkan sistem pengaduan masyarakat berbasis mobile yang mampu meningkatkan efektivitas pengelolaan pengaduan sekaligus menjamin keamanan data menggunakan kombinasi algoritma RSA-2048, AES-256-CBC, dan autentikasi HMAC-SHA256. Metode penelitian yang digunakan adalah Mixed Method dengan tahapan pengembangan sistem SDLC Waterfall, meliputi requirement analysis, design, coding, testing, dan maintenance. Pengujian sistem dilakukan menggunakan Black Box Testing untuk menguji fungsionalitas aplikasi serta System Usability Scale (SUS) untuk mengukur tingkat usability. Hasil penelitian menunjukkan bahwa seluruh fungsi utama sistem berjalan sesuai dengan kebutuhan, proses hybrid encryption berhasil menjaga kerahasiaan data pengaduan, sedangkan HMAC mampu memverifikasi integritas data selama proses komunikasi. Hasil pengujian SUS memperoleh nilai rata-rata 61,33, yang termasuk kategori Marginal Acceptable dengan grade D, sehingga aplikasi dinilai telah dapat digunakan, meskipun masih memerlukan peningkatan pada aspek kemudahan penggunaan. Kata kunci: Sistem Pengaduan; Hybrid Encryption; RSA-2048; AES-256-CBC; HMAC-SHA256; SDLC Waterfall.
Co-Authors Abdul Halim Abdul Halim Ahmad Munawir Ali Rochman Ali Rohman Ali Rohman Anam, Aan Khoirul Anugerah Agung Auliana, Sigit Aziz, Aflahul Basuki Rakhim Setya Permana Eris Purnama Gelard Untitha Pratama Gerald Untirtha Pratama Hamdan Hamdan Hamdan Hasan Siddiq Heru Maulana, Yozie Iis Nurasiah Irvan Septiandi Kustanto , Prio Mahbub Ahwani Makin, Samsul Malik Farid Hanafi Maman Maman Masyhuri Masyhuri, Maman Maulana, Rafli MMSI Irfan ,S. Kom Muhamad Hidayatullah Muhamad Shiraj Al-Ayyubi Nana Supiana Nazil Fikri Hidayatullah Nova Fitriyani Novita Sari Novita Sari Nurul Chafid Nurul Chafid Nurul Khoer Hidayah, Nadaa Parimin Pratama, M. Arieza Purnama, Eris Puspa Sari Rahmat Rahmat Rizki, Wahyu Roy, Sujan Chandra Rudianto Rudianto Rudianto Rudianto Sapaatullah, Asep Saputro, Ahmad Dwi Sayyidah, Arnaeta Aprilia Siti Bunga Cinta Sunardi Sunardi Sunardi Supiana, Nana Ubaedilah, Ikbal Wahyu Amaldi Yansyah, Mardi