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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer REKAYASA Sistemasi: Jurnal Sistem Informasi Jurnal Ilmiah FIFO Jurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) Jurnal Multidisiplin Pengabdian Masyarakat (JMPM)
Al-Hakim, Rosyid Ridlo
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Agriculture, Biological Sciences & Forestry Computer Science & IT Education Electrical & Electronics Engineering Engineering Library & Information Science Physics Social Sciences Other

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Design and Development of Drug Formulation Classification Information System Setiawan, Retno Agus; Al-Hakim, Rosyid Ridlo; Trivilia, Indah; Juniarti, Ulan
Rekayasa Vol 17, No 3: Desember, 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v17i3.28018

Abstract

The increasing complexity of pharmaceutical management in pharmacies demands efficient systems to streamline drug classification and inventory control. As pharmacies handle a diverse range of formulations, including tablets, syrups, and injectables, the need for advanced systems that ensure accuracy, efficiency, and compliance is becoming increasingly evident. This study focuses on the design and development of a web-based Drug Formulation Classification Information System, specifically tailored to improve the management of drug formulations. The system was developed using a Rapid Application Development (RAD) approach with a focus on user-centered design, prioritizing the needs and experiences of end-users, particularly pharmacists and administrators. Core functionalities incorporated into the system include real-time inventory updates, advanced drug search and classification, and automated report generation to simplify daily operations. To evaluate system performance and user experience, usability testing was conducted with pharmacists from UHB Educational Pharmacy. Results indicated a high user satisfaction rate, with 85% of participants finding the system intuitive and easy to use. The system’s architecture features a clear and intuitive user interface that minimizes the learning curve, ensuring that both experienced and novice users can navigate the platform efficiently with minimal training. Feedback from testing aligned with the Technology Acceptance Model (TAM), emphasizing the importance of perceived ease of use and usefulness in driving system adoption and user satisfaction. This research contributes to the growing field of pharmacy informatics by offering a scalable, adaptable solution for pharmacy management, with potential for integration into larger healthcare systems. Future enhancements will focus on integrating predictive analytics and extending system capabilities to further support pharmaceutical operations and patient care.
Program Mapankan Desa Dewan Energi Mahasiswa Banyumas dalam Mendukung Desa Mandiri Energi Al-Hakim, Rosyid Ridlo; Sidiq, Miftakhul Hafidz; Wulandari, Elsa; Sudrajat, Amel Okky; Permatasari, Ratna M.; Saputra, Sentana W.; Wati, Aulia Septia; Muchsin, Achmad; Ropiudin, Ropiudin
Jurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) Vol. 3 No. 3 (2022)
Publisher : Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jp2m.v3i3.18755

Abstract

Desa Kedungweru mempunyai potensi energi angin dan surya yang dapat dioptimalkan secara baik untuk mendukung kemandirian desa energi. Salah satu program organisasi mahasiswa Dewan Energi Mahasiswa (DEM) Banyumas adalah program mapankan desa, sehingga desa ini dipilih sebagai desa rintisan untuk memulai program desa energi. Potensi lain yang didapat pada desa ini antara lain adanya limbah sekam padi yang dapat diolah untuk pembuatan biobriket. Tujuan dari pengabdian program mapankan desa adalah untuk memberikan edukasi terkait energi baru dan terbarukan dan menginisiasi program desa energi. Kegiatan program mapankan desa berlangsung antara Agustus hingga Desember 2021. Metode pelaksanaan terdiri atas sosialisasi, pendampingan dan pelatihan, serta refleksi. Kegiatan program mapankan desa sebagai bentuk pengabdian masyarakat berhasil terlaksana dengan baik, dengan luaran: 1) memberikan pemahaman konsep energi bagi kelangsungan hidup manusia, 2) memberikan pengetahuan energi baru dan terbarukan (EBT) sebagai energi alternatif pengganti minyak dan batu bara, 3) memberi kesempatan masyarakat desa untuk mandiri energi, baik dengan memanfaatkan energi hibrid dan pengolahan limbah sekam padi menjadi biobriket untuk dijadikan sumber pengapian.
Pengembangan Sistem Informasi Bimbingan Konseling Menggunakan Metode Feature-Driven Development Al-Hakim, Rosyid Ridlo; Yanuardi, Yanuardi; Rumandan, Rhaishudin Jafar; Tonggiroh, Mursalim
Jurnal Ilmiah FIFO Vol 16, No 2 (2024)
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/fifo.2024.v16i2.009

Abstract

Dalam era perkembangan teknologi informasi yang pesat, penerapan sistem digital dalam pendidikan menjadi sangat penting, terutama dalam layanan bimbingan dan konseling yang memainkan peran krusial dalam mendukung perkembangan siswa. Namun, sistem pengelolaan bimbingan konseling manual sering menghadapi kendala seperti keterbatasan dalam manajemen data dan kurangnya integrasi antar fungsi, yang berdampak pada penurunan kualitas layanan. Penelitian ini bertujuan untuk mengembangkan sistem informasi bimbingan konseling berbasis web dengan menggunakan metode Feature-Driven Development (FDD). FDD dipilih karena kemampuannya yang berfokus pada pengembangan berbasis fitur, memungkinkan pembangunan sistem yang komprehensif dan dinamis. Melalui FDD, setiap fitur inti dari sistem, seperti pengelolaan data pelanggaran, penjadwalan bimbingan, penilaian konseling, dan pembuatan laporan, dikembangkan secara iteratif dan bertahap, sehingga meminimalkan risiko dan memastikan integrasi yang baik di setiap tahap. Penerapan pendekatan FDD menghasilkan sistem yang diselesaikan dalam 4 bulan dengan 4 iterasi, sesuai jadwal yang direncanakan. Pengujian usability menunjukkan hasil yang baik dengan rata-rata nilai 90%, mengindikasikan bahwa sistem ini tidak hanya fungsional tetapi juga mudah digunakan dan diterima dengan baik oleh penggunanya.
Sistem Pakar untuk Diagnosis Penyakit Tiroid dengan Gejala Psikologis Beserta Pengobatan Etnobotaninya Al-Hakim, Rosyid Ridlo; Arief, Yanuar Zulardiansyah; Satria, Muhammad Haikal; Pangestu, Agung; Hidayah, Hexa Apriliana; Setyowisnu, Glagah E.; Prihantini, Prihantini; Setiawan, Antonius Darma; Putri, Esa Rinjani Cantika
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9 No 7: Spesial Issue Seminar Nasional Teknologi dan Rekayasa Informasi (SENTRIN) 2022
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2022976763

Abstract

Peran sistem pakar dapat membantu seorang ahli memecahkan masalah di bidang tertentu. Salah satu manfaat dari sistem ahli adalah bahwa ia digunakan untuk mendiagnosis penyakit tertentu atau gejala suatu penyakit. Faktor kepastian (certainty factor) memiliki aturan penting untuk sistem pakar dengan spesialisasi ini. Penyakit tiroid dikorelasikan dengan gangguan psikologis. Dewasa ini, banyak masyarakat masih memanfaatkan tumbuhan sebagai obat-obatan tradisional, dalam kajian ilmu biologi disebut sebagai etnobiologi. Beberapa pengobatan tanaman tradisional untuk penyakit tiroid juga digunakan masyarakat. Namun, belum ditemukannya sistem pakar untuk mendiagnosis penyakit tiroid dengan gejala-gejala psikologis beserta saran tanaman obatnya. Studi ini bertujuan menerapkan sistem pakar untuk mendiagnosis penyakit tiroid dengan gejala psikologis dan saran pengobatan tradisionalnya. Penelitian ini juga mengusulkan aplikasi sistem pakar berbasis Android yang dapat diimplementasikan bagi dokter. Metode penelitian menggunakan metode faktor kepastian dengan inferensi persentase tingkat kepercayaan dan saran tanaman obat tradisional yang bisa digunakan. Pengumpulan data melalui wawancara dokter dan studi literatur relevan untuk data etnobotani. Validasi sistem dilakukan oleh dokter dan ahli botani. Hasilnya adalah sistem pakar ini mampu memberikan validitas di atas 90% untuk penyakit tiroid dan dapat digunakan dokter untuk membantu mendiagnosis pasien dengan indikasi penyakit tiroid beserta gejala-gejala psikologisnya. AbstractThe role of an expert system can help an expert solve problems in a particular field. One of the benefits of the expert system is that it is used to diagnose a specific disease or symptom of a disease. The certainty factor has important rules for the system of experts with this specialty. Thyroid disease is correlated with psychological disorders. Nowadays, many people still use plants as traditional medicines, in the study of biological sciences it is referred to as ethnobiology. Some folk plant treatments for thyroid disease are also used by the public. However, there has not been a finding of an expert system for diagnosing thyroid disease with psychological symptoms along with suggestions for medicinal plants. The study aims to apply an expert system for diagnosing thyroid disease with its psychological symptoms and traditional treatment advice. This study also proposes an Android-based expert system application that can be implemented for doctors. The research method uses the method of certainty factor with inference of the percentage of the level of trust and suggestions of traditional medicinal plants that can be used. Data collection through physician interviews and literature studies is relevant for ethnobotanical data. Validation of the system is carried out by doctors and botanists. The result is that this expert system is able to provide validity above 90% for thyroid disease and can be used by doctors to help diagnose patients with indications of thyroid disease and their psychological symptoms.
Pengenalan Teknologi Canva Upaya Meningkatkan Keterampilan Desain Grafis Pada SMA/Sederajat Kabupaten Banyumas Ardianto, Rian; Al-Hakim, Rosyid Ridlo; Jayusman, Hadi; Dewa, Bala Putra; Wibisono, Sony Kartika
Jurnal Arba - Multidisiplin Pengabdian Masyarakat Vol. 1 No. 1 (2024): Agustus
Publisher : Jurnal Arba - Multidisiplin Pengabdian Masyarakat

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

Abstract

The delivery of engaging, creative, and informative information is crucial to ensuring educational material is well understood by readers, particularly students in schools. The objective of this community service initiative is to foster creativity and encourage innovation in graphic design among equivalent high school students in Banyumas Regency. Training sessions on the use of the Canva application were conducted for high school students, utilizing practical demonstrations in the laboratory facilities of Universitas Harapan Bangsa, as part of the themed campus branding event known as CSC Fusion Camp organized by the Computer Science Club's Student Activity Unit. The training curriculum encompassed account creation, template utilization, and element arrangement for slide production as instructional support. Results from these activities indicated that participants successfully applied what they learned directly from the training modules. An evaluation was conducted through questionnaires assessing the usability of Canva, clarity of the materials, and perceived benefits by the participants. It is anticipated that this training will enhance students' insights and knowledge in delivering engaging and comprehensible learning materials tailored to their needs. Recommendations for future implementations include the necessity for advanced training sessions to enable students to maximize their application of the knowledge gained from this training.
Using Regression Model Analysis for Forecasting the Likelihood of Particular Symptoms of COVID-19 Pangestu, Agung; Sumirat, Ucu; Al-Hakim, Rosyid Ridlo; Yusro, Muhammad; Ekawati, Risma; Alrahman, Mahmmoud H. A.; Arif, Machnun; Muchsin, Achmad; Wahyudiana, Nadhilla H
Sistemasi: Jurnal Sistem Informasi Vol 13, No 1 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i1.3463

Abstract

A certainty factor (CF) rule-based technique is frequently used by traditional expert systems (TES) in the medical industry to compute several symptoms and identify the inference solutions. The primary concern for this TES was predicting the likelihood of a particular ailment in the circumstances of new patients. Based on symptoms connected to clinical indicators in patients' diagnosis, CF is estimated. This TES probably won't be able to forecast unknown things, like the possibility of a particular ailment. Therefore, supervised learning techniques like linear regression can address this issue. We attempted to analyze the current COVID-19 TES by modeling the regression equation to forecast the chance of a particular disease that is COVID-like based on the CF value and the confidence level of the symptoms. To examine the most effective regression model to address the issue, we employed multi-linear regression (MLR) and multi-polynomial regression (MPR). The findings demonstrate that the MLR and MPR models are the most accurate regression models for estimating the chance of a disease associated with COVID-like symptoms. Our work built a basis for the creation of expert systems by concentrating more on MLES (machine learning expert systems) analytical techniques than TES.
Co-Authors Achmad Muchsin Agung Pangestu Alrahman, Mahmmoud H. A. Ardianto, Rian Arif, Machnun Dewa, Bala Putra Hexa Apriliana Hidayah Jayusman, Hadi Juniarti, Ulan Muhammad Haikal Satria Muhammad Yusro Permatasari, Ratna M. Prihantini Prihantini Putri, Esa Rinjani Cantika Risma Ekawati, Risma Ropiudin . Rumandan, Rhaishudin Jafar Saputra, Sentana W. Setiawan, Antonius Darma Setiawan, Retno Agus Setyowisnu, Glagah E. Sidiq, Miftakhul Hafidz Sudrajat, Amel Okky Tonggiroh, Mursalim Trivilia, Indah Ucu Sumirat Wahyudiana, Nadhilla H Wati, Aulia Septia Wibisono, Sony Kartika Wulandari, Elsa Yanuar Zulardiansyah Arief Yanuardi Yanuardi