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Journal : Informatics and Computer Engineering Journal

 1 
Sistem Informasi Medical Check Up Berbasis Web Pada Laboratorium Klinik Patra Medica Cilacap Saifudin, Saifudin; Sunanto, Sunanto; Imam Fadlilah, Nuzul; Dhian Pratiwi, Novita
Informatics and Computer Engineering Journal Vol 5 No 1 (2025): Periode Februari 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/icej.v5i1.7615

Abstract

Sistem informasi berbasis website saat ini dibutuhkan oleh berbagai bidang usaha salah satunya yang bergerak dibidang kesehatan seperti laboratorium klinik.Sistem informasi ini bermanfaat untuk menyebarkan informasi dan menarik minat masyarakat yang ingin melakukan cek kesehatan.Laboratorium Klinik Patra Medica Cilacap adalah suatu badan usaha dibidang kesehatan yang menyediakan pelayanan medical check up bagi masyarakat.Laboratorium Klinik Patra Medica Cilacap membutuhkan adanya suatu web yang dapat memberikan kemudahan bagi masyarakat yang ingin mengetahui informasi tentang Laboratorium Klinik Patra Medica Cilacap tanpa harus datang langsung ketempat. Dalam penelitian ini, menganalisis tentang bagaimana cara membangun sistem informasi medical check up berbasis web pada Laboratorium Klinik Patra Medica Cilacap dengan menggunakan metode waterfall. Website ini dibuat menggunakan PHP dan basis data MySQL. Tahapan yang dilakukan dalam pembuatan website ini dengan mengumpulkan data, menganalisis kebutuhan, membuat rancangan antar muka, basis data dirancang dengan ERD dan LRS, file spesifikasi dan implementasi, kemudian diuji dengan pengujian blackbox. Website yang telah dihosting, selanjutnya dapat diakses oleh masyarakat luas supaya lebih mengenal dan mengetahui informasi lengkap dari Laboratorium Klinik Patra Medica Cilacap
Penerapan Algoritma Decision Tree Dengan Optimasi Parameter Dalam Memprediksi Reaksi Autoimun Akibat Obat saifudin; Fadlilah, Nuzul Imam; Nouvel, Ahmad; Sunanto, Sunanto
Informatics and Computer Engineering Journal Vol 5 No 2 (2025): Periode Agustus 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/icej.v5i2.9157

Abstract

In the latest developments in medical technology, machine learning, especially the application of the Decision Tree algorithm, is becoming an increasingly popular approach for large-scale health data analysis. Decision Tree is known for its ability to identify hidden patterns in clinical data with interpretation that is easy for medical professionals to understand. Through the process of parameter optimization, the accuracy of the model can be significantly improved, allowing for more precise predictions of possible autoimmune reactions due to the use of certain drugs. The use of Decision Tree-based predictive models with optimized parameters not only strengthens clinical decision-making, but also paves the way for more personalized and precise treatment practices. Parameter optimization is used for the execution of all parameter variations that are set through its subprocesses. The final result recorded an optimal predictive performance of 77.50% with 98.28% more precision for the "true=0" class compared to the "true=1" class.
SISTEM INFORMASI PSIKOTES ONLINE PADA PERUSAHAAN XYZ Vadlya, Vadlya Maarif; Muhammad Nur, Hidayat; Mustofa, Mustofa; Nouvel, Ahmad; Sunanto, Sunanto
Informatics and Computer Engineering Journal Vol 3 No 1 (2023): Periode Februari 2023
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/icej.v3i1.1740

Abstract

Companies that are engaged in the Control Process Instrumentation sector which requires HR (Human Resources) competent in their respective fields with the Recruitment section of the Human Resources Division to recruit qualified candidates in accordance with the criteria determined by the Prospective Employee Division. will work later. Each individual certainly has a different character and personality and each part of the company requires employees who have character according to work assignments. Therefore, companies need to conduct psychological tests to obtain data related to information on a prospective employee in the context of work. Currently, testing is done manually, which is very inefficient and time-consuming. Using CBT (Computer Base Test) is certainly a good solution because with computerization, starting from the test process to analyzing test data, it is easier and more effective to do. By answering questions online, of course there is no distance limit, prospective employees who want to practice without having to come directly to the head office are located. Also, the process that previously used the sheet method was difficult in storing archives, by using computerization all recorded data from each prospective employee could be centralized and easier to manage.
Penerapan Linear Sampling Dalam Komparasi Decision Tree Dan Deep Learning Pada Pelajar Pecandu Narkoba saifudin; Sunanto, Sunanto
Informatics and Computer Engineering Journal Vol 4 No 2 (2024): Periode Agustus 2024
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/icej.v4i2.4671

Abstract

Drug addicts based on a report from the National Narcotics Agency (BNN) in Indonesia are more than 7 million people in the age range of 15-64 years. The number of students who become drug addicts is increasing every year, this phenomenon is very worrying because students are the next generation of the nation who are expected to become leaders in the future. In school areas, the pressure to excel and be accepted by peer groups often urges students to seek escape through the use of prohibited substances. Not only that, the lack of parental supervision and low understanding of the dangers of drugs also contribute to the increase in this addiction problem. This study compares the decision tree and deep learning methods to find the highest accuracy value between the two methods, while sampling is done using linear sampling. The highest accuracy value is in the decision tree method with an accuracy value of 69.50%, 100% precision and 0% recall.
Sistem Informasi Medical Check Up Berbasis Web Pada Laboratorium Klinik Patra Medica Cilacap Saifudin, Saifudin; Sunanto, Sunanto; Imam Fadlilah, Nuzul; Dhian Pratiwi, Novita
Informatics and Computer Engineering Journal Vol 5 No 1 (2025): Periode Februari 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/icej.v5i1.7615

Abstract

Sistem informasi berbasis website saat ini dibutuhkan oleh berbagai bidang usaha salah satunya yang bergerak dibidang kesehatan seperti laboratorium klinik.Sistem informasi ini bermanfaat untuk menyebarkan informasi dan menarik minat masyarakat yang ingin melakukan cek kesehatan.Laboratorium Klinik Patra Medica Cilacap adalah suatu badan usaha dibidang kesehatan yang menyediakan pelayanan medical check up bagi masyarakat.Laboratorium Klinik Patra Medica Cilacap membutuhkan adanya suatu web yang dapat memberikan kemudahan bagi masyarakat yang ingin mengetahui informasi tentang Laboratorium Klinik Patra Medica Cilacap tanpa harus datang langsung ketempat. Dalam penelitian ini, menganalisis tentang bagaimana cara membangun sistem informasi medical check up berbasis web pada Laboratorium Klinik Patra Medica Cilacap dengan menggunakan metode waterfall. Website ini dibuat menggunakan PHP dan basis data MySQL. Tahapan yang dilakukan dalam pembuatan website ini dengan mengumpulkan data, menganalisis kebutuhan, membuat rancangan antar muka, basis data dirancang dengan ERD dan LRS, file spesifikasi dan implementasi, kemudian diuji dengan pengujian blackbox. Website yang telah dihosting, selanjutnya dapat diakses oleh masyarakat luas supaya lebih mengenal dan mengetahui informasi lengkap dari Laboratorium Klinik Patra Medica Cilacap
Co-Authors Afib Rulyansah Afkar, Muh Tanwirul Ahmad MAULANA Ahmad Nouvel - AMIK BSI Purwokerto Ahmad Nouvel - AMIK BSI Purwokerto Ahmad Taufik Ainia, Faridah Zahrotul Akhwani Akhwani, Akhwani Alawiyah, Saudatul Albertus Sewianto Alfiyah, Inayah Alfiyah, Zuraida Nisaul Almaniar, Siska Amran, Hasanatul Fu'adah Andini Hardiningrum Anggraini, Mirna Anshori, Maz Isa Aprilian, Pingkan Aprini, Hidayah Arabiatul Adawiyah, Arabiatul Arianti, Dini Arif Rahman Hakim Asep Sulaeman, Asep Asmarani, Ratih Asmaul Lutfauziah Asrianto, Rudy Ayu Pramesti, Diah Azizah, Nuryana Elia Bambang Priyanto, Bambang BERDA ASMARA Capriat, Zelin Ferdias Decky Aditya Zulkarnaen Dede Kusmana Dedi Setiawan Deprizon, Deprizon Dewi Ningsih, Dewi Dewi, Anis Kusuma Dhian Pratiwi, Novita Djazilan, M. Sukron Djazilan, Syukron Dukiyah, Dukiyah Edi Ismanto Eka Wardani, Aris Farisha Andi Baso, Farisha Andi Faural Abadi Ferry Sugara, Ferry Firdaus, Dian Nita Gusmaniarti, Gusmaniarti Hady, Hamdy Haikal, Zikrul Handayani, Erna hanifah, iis Harun Mukhtar Hasibuan, Rahmawaty Hidayati, Tutik Huda, Muchamad Samsul Huda, Muchamad Samsul Huda, Samasul Ilham Hudi Aim Abdulkarim Kokom Komalasari, Ilham Hudi Aim Abdulkarim Izzatunnisa, Nazwa Karsid, Karsid Kasiyun, Suharmono Khasanah, Uswatul Kumalasari, Shofi Eka Kusyairi, Achmad Laily Indrayanti Yusuf Laily, Izzatul Leisthari, Fepi Lestari, Novianti Kamla Lestari, Noviyanti Kartika Dwi Lisman, Muhammad maharani, krisnina Mahmudah, Faridatun Nurul Manoefris Kasim Mariani Mariani Mariati, Pance Maryani, Ina Mashuri Mashuri Mauludiya, Melynda Mikrad mikrad Mispani, Mispani Mohamad, Mohd Saberi Moyo, Kgomotso Muarif, Putri Fadhilla Muhamad Sardiman Muhammad Nur, Hidayat Muhammad Thamrin Muhammad Thamrin Hidayat Mukti, Fiqhri Nugroho Mulya, Yusha Tri Musarofah, Musarofah MUSLIMIN IBRAHIM Mustofa Mustofa Nafi'ah, Nafi'ah Nafiah, Nafiah Nafolion Nur Rahmat, Nafolion Nur Najih, Arjun Nandana, Pandu Ishaq Napitupulu, Rizal Afif A. Nashirin, Rohmatun Ng Phi Shi Nur Hamim Nurfita, Roro Nurhaini, Siti Nurismalatri, Nurismalatri Nusantara, Ana Fitria Nuzul Imam Fadlilah Pannyiwi, Rahmat Praptiningtiyas, Ariska Puji, Ari Andriyas Purba, Horas V Purnaning, Dyah Purwanto, Hadi Purwati Purwati Puspitarini, Renny Candradewi Putri, Novitya Arnika Rafdi, Faris Abi Rahayu, Dewi Widiana Rahmad Firdaus Rahmat, Rezqiqah Aulia Remli, Muhammad Akmal Ridhollah, Farhan Rofan Aziz Rohadi Rohadi Rohmah, Sonia Jasmine Rohmah, Syifaur Rusdiyanto, Nurholis Rusnaeni, Nani Safariningsih, Ratna Tri Hari Saifudin Saifudin Saifudin Salsabiila, Iffah Sari, Galuh Mayang Sari, Maftuhatul Ulumiyah Kumalasari Sarra, Hustna Dara Shabrina, Nina Sholihah, Nasihatus Siti Aisyah Soni Sri Hartatik Suciati Suciati Suharmanto, Ardelia Suryadi Imran, Suryadi Susanto, Rudi Umar Syahril Syahril Syamsul Ghufron Taufiq, Reny Medikawati Tika Handayani Tutik Ekasari Vadlya, Vadlya Maarif Valia, Virna Githa Veriady Purba, Jan Horas Wahyu Nur Chalamsa Wahyusari, Shinta Wan Salihin Wong, Khairul Nizar Syazwan Wardika, Wardika Wicaksono, Dedi Yogasnumurti, Raras Risia Yuly Peristiowati Zahra, Fira May Zahro, Ma’rifatul Lailatus Zuhan, Arif