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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer REKAYASA International Journal Artificial Intelligent and Informatics Jurnal Pengabdian Masyarakat Jurnal Ilmu Komputer dan Teknologi (IKOMTI) Jurnal Borneo Informatika dan Teknik Komputer (JBIT) SEMINAR NASIONAL PENELITIAN DAN PENGABDIAN KEPADA MASYARAKAT Journal Of Computer Science And Technology
Setiawan, Retno Agus
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Nursing Physics Public Health Other

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Perancangan Sistem Informasi Eksekutif untuk Meningkatkan Performa Kinerja Pemeriksaan Risiko Kesehatan Ibu Hamil pada Klinik Kebidanan dan Penyakit Kandungan Juniarti, Ulan; Nurhalizah, Ria Suci; Islahati, Ariefah Khairina; Al-Majra R.A., Chairunnisa; Setiawan, Retno Agus
Jurnal Borneo Informatika dan Teknik Komputer Vol 4, No 1 (2024): Edisi April-September
Publisher : Jurusan Teknik Komputer, Fakultas Teknik, Universitas Borneo Tarakan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35334/jbit.v4i1.4953

Abstract

Abstract: Based on WHO data in 2020, it was found that around 287,000 women died during and after pregnancy, especially in low-income countries. The measurement of maternal mortality rate (MMR) becomes the focus with the implementation of early detection system of pregnancy risk. The development of an Executive Information System (EIS) in the form of dashboard management can support decision making and health monitoring of pregnant women in obstetrics and gynecology clinics. The methods used are dataset preparation, analysis using SQL, and dashboard design. The results show that the EIS can provide a statistical overview of the risks of pregnant women, facilitate multivariate and bivariate analysis, and map the geographical distribution of risks in Indonesia. This study concludes that EIS in the form of dashboard management can be an effective solution to improve the performance of pregnant women's health performance by supporting fast and accuratedecision making.Abstrak: Berdasarkan data WHO tahun 2020, ditemukan bahwa sekitar 287.000 perempuan meninggal selama dan setelah kehamilan, terutama di negara-negara berpendapatan rendah. Pengukuran Angka Kematian Ibu (AKI) menjadi fokus dengan implementasi sistem deteksi dini risiko kehamilan. Pengembangan Sistem Informasi Eksekutif (EIS) berupa manajemen dashboard dapat mendukung pengambilan keputusan dan pemantauan kesehatan ibu hamil di klinik kebidanan dan kandungan. Metode yang digunakan yaitu persiapan dataset, analisis menggunakan SQL, dan desain dashboard. Hasilnya menunjukkan bahwa EIS dapat memberikan gambaran statistik risiko ibu hamil, memfasilitasi analisis multivariant dan bivariate serta memetakan distribusi geografis risiko di Indonesia. Penelitian ini menyimpulkan bahwa EIS berbentuk manajemen dashboard dapat menjadi solusi efektif untuk meningkatkan performa kinerja kesehatan ibu hamil dengan mendukung pengambilankeputusan cepat dan akurat.
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.
Development of puzzle game as media for learning and profession interest Rianto, Rianto; Setiawan, Retno Agus
International Journal Artificial Intelligent and Informatics Vol 1, No 2 (2018)
Publisher : Research and Social Study Institute (ReSSI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (473.444 KB) | DOI: 10.33292/ijarlit.v1i2.19

Abstract

Multimedia is one of means or media, component in multimedia can be images, text, video or sound. Multimedia can be used as a communication tool or convey of information to others. In this puzzle game, multimedia is used as a learning media to introduce the profession and know the professional interest for users. In addition, in this game there are elements of education, counseling and information about the importance of education. In this game, more devoted to 9th grade junior high school students. The value contained in this puzzle game is trying to direct students to continue their education to the highest level by presenting materials that are expected to give students an idea of the world of education, job opportunities junior, senior high school and university graduates
Implementasi Wireless Sensor Network: Perbandingan Metode Inverse Distance Weight dan Ordinary Kriging untuk Estimasi Kadar Gas Amonia pada Lingkungan Peternakan Ashari, Imam Ahmad; Setiawan, Retno Agus; Nisa', Khoriun
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9 No 5: Oktober 2022
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2022934394

Abstract

Wireless Sensor Network merupakan salah satu teknologi yang menjadi tren saat ini.  Salah satu sektor bidang yang banyak memanfaatkan penerapan teknologi ini adalah agrikultur. WSN banyak digunakan dalam mengatasi permasalahan di sektor agrikultur, salah satunya pada sektor peternakan. Permasalahan yang sering terjadi di industri peternakan adalah gas beracun yang timbul dari kotoran hewan ternak, yaitu amonia. Peningkatan konsentrasi gas amonia di peternakan dapat menyebabkan keracunan serta kematian unggas ketika mencapai kadar konsentrasi tertentu. Dengan pemanfaatan teknologi WSN kadar gas amonia di lingkungan peternakan dapat diketahui secara realtime. Hanya saja besarnya biaya menjadi kendala pemasangan perangkat WSN di lingkungan peternakan. Oleh karena itu pada penelitian ini di usulkan metode yang mampu mengetahui persebaran gas amonia hanya dengan menggunakan beberapa titik stasiun pemantauan. Metode interpolasi mampu mengatasi permasalahan tersebut. Metode interpolasi yang di pakai dalam penelitian ini adalah metode Inverse Distance Weight (IDW) dan Ordinary Kriging (OK). Dari hasil pengujian menggunakan model MAPE metode IDW menghasilkan nilai MAPE sebesar 23,45% dan metode OK mengasilkan nilai MAPE sebesar 24,95%. Dari hasil pengujian tersebut menunjukkan bahwa metode IDW lebih baik daripada metode OK dalam menentukan nilai taksiran gas amonia di suatu titik lokasi. Abstract Wireless Sensor Network is a technology that is becoming a trend today. WSN is widely used in overcoming problems in the subfield of agricultural, livestock. The problem that often occurs in the livestock industries is the poisonous gas that arises from livestock manure, namely amonia. Increasing the concentration of amonia in the farm can cause poisoning and death of poultry when it reaches a certain concentration. With the use of WSN technology, amonia gas levels in the livestock environment can be known in realtime. It's just that the high cost becomes an obstacle to installing WSN equipment in the farm environment. Therefore, this research proposes a method that is able to determine the distribution of amonia gas only by using several monitoring stations. The interpolation method is able to overcome these problems. The interpolation method used in this study is the Inverse Distance Weight (IDW) and Ordinary Kriging (OK) method. From the test results using the MAPE model, the IDW method produces a MAPE value of 23.45% and the OK method produces a MAPE value of 24.95%. From the test results, it shows that the IDW method is better than the OK method in determining the estimated value of amonia gas at a certain location.
IMPLEMENTASI SISTEM INFORMASI AKADEMIK DI SD N GRUGU 03 BERBASIS WEB MENGGUNAKAN LARAVEL Azkiyatun Nadroh; Kiki Alfaini Nurrizki; Sumantri, R. Bagus Bambang; Setiawan, Retno Agus
Journal of Computer Science and Technology (JOCSTEC) Vol 1 No 3 (2023): JOCSTEC - September
Publisher : PT. Padang Tekno Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59435/jocstec.v1i3.178

Abstract

Saat ini belum semua lembaga pendidikan menerapkan sistem informasi akademik, diharapkan dalam waktu dekat sistem informasi akademik pendidikan ini dapat diterapkan di setiap lembaga pendidikan dan menghasilkan aplikasi yang benar-benar mendukung fungsi dunia pendidikan pada umumnya. SD N Grugu 03 adalah salah satu lembaga pendidikan di provinsi Jawa Tengah yang saat ini belum memiliki sistem informasi akademik tersediri. Penelitian ini menggunakan metode Waterfall sebagai metode pengembangan sistemnya dimana framework Laravel diterapkan untuk membangun sistem informasi akademik. Hasil penelitian menunjukan bahwa Sistem informasi akademik berbasis web yang dikembangkan dapat mendukung pengelolaan data guru, siswa, mata pelajaran, ruang kelas, jadwal, daftar hadir, dan penilaian siswa. Selain itu, hasil pengujian sistem menunjukan bahwa sistem telah berhasil menerapkan semua fiturnya dengan baik.
Pengujian Usability pada Website Rumah Sakit Wilayah Kabupaten Banyumas berdasarkan Stover Model Setiawan, Retno Agus; Suryani, Riska
Jurnal IT UHB Vol 4 No 1 (2023): Jurnal Ilmu Komputer dan Teknologi
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/ikomti.v4i1.1245

Abstract

Saat ini website telah digunakan secara luas dan menjadi bagian penting bagi rumah sakit sebagai sarana yang sederhana dan murah untuk menyediakan akses informasi dan layanan. Kualitas yang baik dan kemudahan penggunaan menjadi kriteria penting dalam keberhasilan sebuah website. Usability merupakan salah satu alat yang banyak digunakan untuk menentukan kualitas suatu website. Penelitian ini bertujuan untuk mengidentifkasi aspek-aspek usability pada website rumah sakit guna meningkatkan kualitas pelayanan yang diberikan. Hasil penelitian berdasarkan Stover Model dengan beberapa kriteria yang disesuaikan menunjukkan pada aspek kualitas konten sebanyak 37,5% kriteria telah terpenuhi, sedangkan pada aspek fungsional sebanyak 20% kriteria telah terpenuhi. Hasil penelitian menunjukkan beberapa elemen website rumah sakit harus ditingkatkan untuk menghasilkan usability yang lebih baik.
Pelatihan AI-Project bagi Siswa Sekolah Menengah di Wilayah Banyumas Menggunakan Google Teachable Machine Setiawan, Retno Agus; Riska Suryani
Jurnal Pengabdian Masyarakat - PIMAS Vol. 3 No. 3 (2024): Agustus
Publisher : LPPM Universitas Harapan Bangsa Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/pimas.v3i3.1599

Abstract

Pengenalan kecerdasan buatan (AI) di kalangan siswa sekolah menengah di wilayah Banyumas masih terbatas, meskipun AI semakin penting dalam berbagai bidang. Untuk meningkatkan literasi AI, dilakukan pelatihan AI-Project menggunakan Google Teachable Machine, yang dirancang untuk memudahkan siswa memahami dan menerapkan konsep dasar AI. Metode Participatory Action Research (PAR) diterapkan dalam kegiatan ini, meliputi tahapan observasi, refleksi, pelaksanaan, dan evaluasi. Pelatihan dibagi menjadi beberapa sesi, termasuk pengenalan AI, demonstrasi penggunaan Google Teachable Machine, dan praktek pembuatan proyek AI oleh siswa. Hasil kegiatan menunjukkan bahwa sebagian besar siswa merasa puas dengan pelatihan, dan 87% menunjukkan minat untuk mempelajari AI lebih lanjut. Proyek yang dihasilkan siswa berhasil mengenali objek dan suara dengan akurasi yang baik, menunjukkan peningkatan pemahaman mereka tentang AI. Kegiatan ini membuktikan bahwa pendekatan interaktif dan praktis dapat secara efektif meningkatkan literasi teknologi di kalangan siswa. Disarankan agar pelatihan serupa diperluas ke lebih banyak sekolah dan melibatkan guru sebagai pendamping siswa, serta menambahkan sesi pelatihan lanjutan untuk memperdalam pemahaman siswa tentang AI. Dengan demikian, literasi AI di kalangan siswa dapat terus ditingkatkan, mendorong inovasi dan kesiapan teknologi di masa depan.
Executive Information System Berbasis Scrum untuk Monitoring dan Visualisasi Penyebaran Demam Berdarah Dengue (DBD) Rohmah, Sefia Nur; Trivilia, Indah; Khumaida, Rizka; Setiawan, Retno Agus
Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat 2025 Prosiding Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM 2025)
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/snppkm.v4i1.1369

Abstract

The Executive Information System (EIS) is designed to provide strategic reports that assist executives in making decisions quickly, accurately, and based on data. In the context of public health, the EIS plays a vital role in monitoring and controlling the spread of vector-borne infectious diseases such as Dengue Hemorrhagic Fever (DHF). This study aims to design and develop an initial web-based prototype of an EIS capable of detecting and monitoring the spread of DHF in Indonesia through interactive data visualization, statistical analysis, and informative geographic mapping. The system development adopted the Scrum approach, consisting of several stages: product backlog, sprint planning, daily scrum, sprint review, and sprint retrospective. The results indicate that all sprints were completed on schedule, producing a prototype that displays case distribution data, temporal trends, and high-risk areas equipped with features such as filtering, drill-down analysis, and data importing. However, this study remains at the initial design stage; therefore, user validation testing has not yet been conducted. This stage is planned for future research through Usability Testing (System Usability Scale) and Decision-Making Effectiveness Evaluation to assess the level of user acceptance, ease of use, and the system’s impact on executive decision-making in the field of public health.
Implementasi Deteksi Jenis Tanaman Herbal Dengan Model Klasifikasi Gambar Menggunakan Teachable Machine Putri, Amanda Titania; Safira, Ola; Yulianti, Amelia; Faozi, Imam; Setiawan, Retno Agus
Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat 2025 Prosiding Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM 2025)
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/snppkm.v4i1.1373

Abstract

Herbal plants are a source of natural ingredients widely used in traditional medicine and alternative therapies. However, the process of identifying herbal plant types is still often done manually, potentially leading to errors, especially for the general public. The aim of this research is to implement an intelligent system capable of classifying herbal plant types based on leaf images, thereby helping to identify herbal plants independently while providing educational value. The research utilizes an image dataset of several types of herbal plant leaves that were processed and trained using Google Teachable Machine. This platform facilitates training machine learning models through an image-based approach without requiring complex programming knowledge. The dataset is divided into several classes according to the type of herbal plant, and the training process is carried out by varying parameters such as epoch, batch size, and learning rate to obtain the most optimal configuration. The results of this research create a web-based intelligent system application that can effectively classify herbal plant images, provide educational information to users, and can be further developed into a practical tool for herbal plant identification. The research also highlights several challenges, such as the need for a sufficiently large and diverse dataset, variations in lighting conditions and image backgrounds, and the model's ability to perform consistently under real-world conditions.
Integrasi Business Intelligence pada Sistem Informasi Apotek untuk Optimalisasi Dispensing Obat dan Mutu Pelayanan Pasien Setiawan, Retno Agus; Samodra, Galih; Jayusman, Hadi; Sumantri, Raden Bagus Bambang
Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat 2025 Prosiding Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM 2025)
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/snppkm.v4i1.1409

Abstract

Pemanfaatan Business Intelligence (BI) dalam sistem informasi kesehatan menjadi salah satu pendekatan strategis untuk meningkatkan mutu pelayanan berbasis data. Pada konteks apotek, proses dispensing obat merupakan tahapan penting yang menentukan ketepatan terapi pasien sekaligus efisiensi operasional. Namun, banyak sistem informasi apotek yang masih berfokus pada pencatatan transaksi tanpa mendukung analitik lanjutan untuk pengambilan keputusan. Penelitian ini bertujuan merancang dan mengintegrasikan BI ke dalam sistem informasi apotek guna mengoptimalkan proses dispensing obat serta meningkatkan mutu pelayanan pasien. Penelitian ini menggunakan CRISP-DM (Cross-Industry Standard Process for Data Mining) metodologi yang meliputi enam fase: business understanding, data understanding, data preparation, modeling, evaluation, dan deployment. Data yang digunakan mencakup transaksi penjualan, stok obat, resep, dan data supplier. Arsitektur sistem dirancang berbasis data warehouse, yang terdiri atas tabel fakta penjualan serta dimensi obat, pasien, waktu, dan supplier. Selanjutnya, integrasi BI diwujudkan melalui pengembangan dashboard analitik dengan indikator kinerja utama meliputi tren penjualan, stok kritis, tingkat stock-out, akurasi dispensing, serta proyeksi kebutuhan obat berbasis time-series forecasting. Hasil penelitian menunjukkan bahwa integrasi BI pada sistem informasi apotek mampu menyediakan analisis real-time, meningkatkan akurasi pemantauan dispensing, serta menghasilkan laporan mutu pelayanan pasien secara komprehensif.
Co-Authors Al-Hakim, Rosyid Ridlo Al-Majra R.A., Chairunnisa Azkiyatun Nadroh Bambang Sumantri, R Bagus Faozi, Imam Imam Ahmad Ashari, Imam Ahmad Islahati, Ariefah Khairina Jayusman, Hadi Juniarti, Ulan Khumaida, Rizka Kiki Alfaini Nurrizki Nisa', Khoriun Nurhalizah, Ria Suci Putri, Amanda Titania Rianto Rianto Riska Suryani Rohmah, Sefia Nur Safira, Ola Samodra, Galih Suryani, Riska Trivilia, Indah Yulianti, Amelia