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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Syntax Literate: Jurnal Ilmiah Indonesia Jurnal TAM (Technology Acceptance Model) JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya Jurnal Ekonomi Manajemen Sistem Informasi Jurnal Teknologi Sistem Informasi Arcitech: Journal of Computer Science and Artificial Intelligence MDP Student Conference Journal of Informatics and Advanced Computing
Muhammad Rachmadi
Universitas Multi Data Palembang
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Sistem Informasi Kepegawaian pada PT XYZ Jennifer; Muhammad Rachmadi; Ahmad Farisi
Journal of Informatics and Advanced Computing (JIAC) Vol 4 No 2 (2023): Journal of Informatics and Advanced Computing (JIAC)
Publisher : Teknik Informatika Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

PT XYZ merupakan perusahaan yang bergerak dibidang developer dan kontraktor di Sumatera Selatan. Pada PT XYZ terdapat beberapa permasalahan yang didapatkan dari hasil wawancara, diantaranya adalah kehilangan data karena form pengajuan izin yang hilang atau rusak dan keterlambatan dalam memperpanjang kontrak karyawan karena tidak adanya reminder jika kontrak karyawan ada yang akan berakhir. Melihat permasalahan yang terjadi maka diberikan solusi yaitu sebuah sistem informasi yang dapat mengelola kepegawaian untuk membantu seluruh kegiatan yang berhubungan dengan karyawan menjadi lebih mudah, cepat, dan akurat. Sistem informasi kepegawaian yang dibuat memiliki berbagai fitur seperti dashboard, fitur mengelola pengajuan cuti / izin, fitur mengelola PHK, fitur mengelola mutasi, fitur mengelola penugasan, dan berbagai fitur lainnya yang berhubungan dengan kepegawaian. Penelitian ini dikerjakan dengan metode pengembangan iteratif dan memiliki hasil berupa sistem informasi kepegawaian yang bermanfaat untuk membantu memberikan reminder kontrak, mempercepat proses pengelolaan data absensi, mengurangi risiko kehilangan dan kerusakan data karyawan dan berbagai manfaat lainnya.
Estimasi Citra Kedalaman Dengan Conditional Random Field (CRF) dan Structured Support Vector Machine (SSVM) Muhammad Rachmadi; Derry Alamsyah
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 1 No 3 (2017): Desember 2017
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (842.819 KB) | DOI: 10.29207/resti.v1i3.64

Abstract

Autonomous UAVs typically require systems capable of mapping (segmenting) the region of a colored image. Regional segmentation will be used to determine the existence of obstacles. Segmentation in an image initiated by grouping a number of pixels by color and proximity, with superpixel. Furthermore, the characteristics of each segmented region were extracted using Principal Component Analysis (PCA). Sequential segregation is a process of introducing a region that requires chain information obtained from the introduction before and after it called stochastic process. Solving this is done using Structured Support Vector Machines (SSVM). Meanwhile, to determine the weight in SSVM required a Conditional Random Field (CRF) model. The results show a good accuracy in the segmentation of the region that is 71%.
Analisis Incident Management dan Service Desk Menggunakan Framework ITIL V4 pada Layanan KIR Dinas Perhubungan Kota Palembang Andry Achmad Fadilla; Muhammad Rachmadi
Arcitech: Journal of Computer Science and Artificial Intelligence Vol. 6 No. 1 (2026): June 2026
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v6i1.17305

Abstract

The rapid development of information technology has encouraged government institutions to continuously improve the quality of digital-based public services, including vehicle inspection (KIR) services at the Palembang City Transportation Agency. Based on observations and interviews, several challenges were identified in the management of information technology services, including the absence of well-documented Standard Operating Procedures (SOPs), incident handling processes that are still carried out manually, and the suboptimal performance of service functions in responding to user complaints. This study aims to evaluate IT service management using the ITIL V4 framework, focusing on the Incident Management and Service Desk practices. The research methods employed include observation, interviews, questionnaire distribution to 17 respondents, maturity level analysis, gap analysis, RACI analysis, and SWOT analysis. The results indicate that the maturity level of Incident Management is 1.69, while Service Desk achieves a score of 1.54, both of which fall within the Repeatable level. Furthermore, the gap analysis reveals a difference of 0.31 for Incident Management and 0.46 for Service Desk compared to the targeted maturity level. The SWOT analysis also shows that the implementation of the KIR application has contributed positively to improving the efficiency of public services. However, several weaknesses remain, including the lack of standardized SOPs, the absence of a ticketing system, and a high dependency on vendors for IT service management. Based on these findings, the recommended improvements include the development of SOPs, implementation of a ticketing system, establishment of a more structured Service Desk function, and enhancement of IT personnel competencies. This study contributes by providing an ITIL V4-based IT service evaluation model integrated with RACI and SWOT analyses to support the improvement of digital public service quality within government institutions.
Analisis Usability dan Rekomendasi Perbaikan UI/UX Website Zero Animal Clinic Menggunakan Heuristic Evaluation dan Design Thinking Nabila Nabila; Muhammad Rachmadi
Jurnal Ekonomi Manajemen Sistem Informasi Vol. 7 No. 3 (2026): Jurnal Ekonomi Manajemen Sistem Informasi (Januari - Februari 2026)
Publisher : Dinasti Review

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jemsi.v7i3.7519

Abstract

Penelitian ini bertujuan untuk menganalisis tingkat usability pada website Zero Animal Clinic serta memberikan rekomendasi perbaikan user interface dan user experience. Website Zero Animal Clinic berperan sebagai media digital dalam penyampaian informasi dan layanan kepada pemilik hewan, namun masih terdapat permasalahan usability yang dapat menghambat efektivitas penggunaannya. Penelitian ini menggunakan metode Heuristic Evaluation untuk mengidentifikasi permasalahan usability berdasarkan sepuluh prinsip heuristik Nielsen. Hasil evaluasi tersebut kemudian dijadikan dasar dalam perancangan ulang UI/UX menggunakan pendekatan Design Thinking yang berorientasi pada pengguna. Tahapan Design Thinking meliputi empathize, define, ideate, prototype, dan test untuk menghasilkan rancangan antarmuka yang lebih mudah digunakan dan efisien. Hasil penelitian menunjukkan bahwa terdapat beberapa permasalahan usability pada website Zero Animal Clinic, terutama pada struktur navigasi, konsistensi tampilan visual, serta keterbatasan fitur interaktif. Rekomendasi perbaikan melalui perancangan ulang UI/UX diharapkan dapat meningkatkan kemudahan penggunaan, kejelasan informasi, dan pengalaman pengguna secara keseluruhan.
SARCASM DETECTION IN PALEMBANG LANGUAGE USING HYBRID CLASSICAL AND DEEP LEARNING APPROACHES Johannes Petrus; Antonius Wahyu Sudrajat; Muhammad Rachmadi
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 12 No. 1 (2026): JITK Issue August 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v12i1.8222

Abstract

Research on sarcasm detection in sentences generally focuses on English and the national languages of certain countries, so that regional languages such as Palembang are still underrepresented in NLP research. This study aims to classify sarcasm in Palembang sentences by applying 12 models and evaluating their performance using a dataset containing 1,952 manually annotated samples. The experiment was also conducted using a 5-fold cross-validation scheme, and the statistical significance of the test results was analyzed using the Friedman t-test ( =41.96, FF=12.90). Contrary to common expectations, the Ensemble classifier achieved the best overall performance, attaining a mean F1-score of 0.877 and outperforming larger pre-trained and dialect-specific models. Even though it is still in the same language family, MelayuBERT's performance is very far behind (F1:0.691). Furthermore, the relatively lower performance of IndoBERT-1.5G (0.731) suggests that model scale alone does not guarantee effectiveness in low-resource language settings. These findings highlight the robustness of feature-engineered classical models compared to large-scale or dialect-specific pre-trained models for sarcasm detection in low-resource regional languages. Our research results with datasets sourced from varied domains have exceeded several national benchmarks. This study can be a baseline for further research.
Co-Authors Agustian Hartony Andry Achmad Fadilla Antonius Wahyu Sudrajat Christopher Given Derry Alamsyah Farisi, Ahmad Fransiskus Daniel Chandra Hendra Hendra Jennifer Johannes Petrus Nabila Nabila Stephanie Ruslan Yohanes Yohanes Yoko Saputra Dewa Yulius Setiawan