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All Journal Jurnal Kesehatan Lingkungan indonesia Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Algoritma Jurnal Teknologi Informasi dan Ilmu Komputer JAIS (Journal of Applied Intelligent System) Sinkron : Jurnal dan Penelitian Teknik Informatika Health Notions Jurnal SOLMA JMM (Jurnal Masyarakat Mandiri) Jurnal Riset Kesehatan Poltekkes Depkes Bandung Parole (Jurnal Pendidikan Bahasa dan Sastra Indonesia) Jurnal Bahana Kesehatan Masyarakat (Bahana of Journal Public Health) Jurnal Persatuan Perawat Nasional Indonesia (JPPNI) Ta'lim al-'Arabiyyah: Jurnal Pendidikan Bahasa Arab dan Kebahasaaraban Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ Journal of Applied Computer Science and Technology (JACOST) International Journal of Industrial Engineering and Engineering Management Jurnal PkM MIFTEK Jurnal Algoritma Jurnal Keolahragaan JUARA Jurnal Kesehatan Siliwangi Jurnal Pengabdian Masyarakat Kesehatan Indonesia Jurnal Promosi Kesehatan Poltekkes Bengkulu Perilaku dan Promosi Kesehatan: Indonesian Journal of Health Promotion and Behavior Almantiq Poltekita: Jurnal Pengabdian Masyarakat
Ridwan Setiawan
SEKOLAH TINGGI TEKNOLOGI GARUT
Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Journal : Jurnal Algoritma

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Sistem Rekomendasi Tingkat Kematangan Kopi Berbasis Web dengan Pendekatan Rule-Based Ilmasik, Heryaman Saptahadi; Nuraeni, Fitri; Setiawan, Ridwan; Septiana, Yosep
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2579

Abstract

The roast level of coffee has a significant effect on its taste, aroma, and viscosity. However, it is often determined subjectively by roasters based on personal experience, especially among small and medium-sized coffee businesses. This study aims to design a web-based coffee roast level recommendation system using a Rule-Based System approach. The system was designed using the Waterfall method and implemented in PHP programming language with a MySQL database. The main attributes used in the system include coffee type, serving method, post-harvest process, and flavor profile. The roaster's knowledge is represented in 20 IF–THEN rules and executed using the Forward Chaining technique. The result of this research is a recommendation system that is able to provide consistent and objective advice on coffee roast levels, such as Light Roast, Medium Roast, and Dark Roast. This system is expected to help roasters or SME players improve the quality of coffee serving in a more standardized and efficient manner.
Aplikasi Pengingat Minum Obat Dengan Monitoring Tenaga Kesehatan Berbasis Mobile Menggunakan Metode Prototype Firdaus Al Anwari, M Riadi; Nuraeni, Fitri; Cahyana, Rinda; Fitriani, Leni; Setiawan, Ridwan; Septiana, Yosep
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2580

Abstract

The process of administering medication to patients requires timeliness and consistency to ensure optimal therapeutic outcomes. In practice, many patients struggle to remember their medication schedules, particularly when treatment extends over a long period. Addressing this issue, the present study aims to develop an Android-based medication reminder application that assists patients in adhering to their treatment schedules while enabling healthcare providers to digitally monitor patient activity. The application was designed using a prototyping method, which emphasizes iterative system development based on user feedback. The development process was conducted in two phases. The first phase involved initial design and testing of core features, such as reminder notifications and patient medication intake reporting forms. The second phase focused on improvements based on user feedback, particularly the addition of a disease information feature that provides educational content about patient diagnoses following checkups, such as hypertension and tuberculosis. Testing was carried out using a black-box testing approach to ensure proper functionality, alongside feedback collection through interviews. The results showed that the application performed effectively; its features were usable by both patients and healthcare providers as intended, and the information displayed was considered helpful in enhancing patients’ understanding of their health conditions. Furthermore, the system contributed to improving patient adherence to medication regimens and facilitated continuous monitoring by healthcare providers.
Co-Authors ., Bunyamin Ade Sutedi, Ade Adiwangsa, Alfian Akmal Agus Rusdiana,, Agus Agustin Aslina, Linda Hastuti Agustin, Novi Yuliani Ahmad Hamidi Almanan, Oesman Raliby Andri Ikhwana Anwar, Deviliana Nabila Ardiansyah, Rifky Asri Mulyani As’ad, Hafizh Ayuningtyas Ayuningtyas Azwardhi, Miftah Yuzar Bambang Yulianto Buchori, Nizar Budiasyah, Teguh Darul Ikhrom, Taufik Dede Kurniadi Dewi Tresnawati Dini Destiani Siti Fatimah Eddy S Siradj Eka Putri, Larasati Elsen, Rickard Eri Satria Erwin Gunadhi Fathima, Tazqia Dianira Fikri Fahru Roji Firdaus Al Anwari, M Riadi Fitri Nuraeni FITRIANI, PIPIT Hakim, Lutfi Lukmanul Hamdi, Wildan Hidayatul Haris Sofyana, Haris Herdhianta, Dhimas Hestiyanti, Mita Hilman, Asep Fithri Hilmi Aulawi Hudawiguna, Sigit Ibrahim, Muhamad Faisal Juliana Ikhsandi, Iqbal Farihu Ilmasik, Heryaman Saptahadi Iman, Fauzul Indri Tri Julianto Ireland, Nova Audi Iryanti, Iryanti Jessica Marbun, Ester Jianul Hayat, Encep Karjatin, Atin Karmila, Santi Kasyf, Ahmad Ryadhian Khairani, Hilda Kharisma Wiati Gusti Komalasari, Iis Kusmayadi, Kusmayadi Latifah, Ayu Leni Fitriani, Leni Lestari, Febri Sri Lia Meilianingsih Lindayani, Lindayani Liyana Ulfa, Risma M. Yunus, Badruzzaman Masripah, Ulpah Mimin Karmini Muhammad Rikza Nashrulloh Muryati Muryati Musthafa, Izzuddin Nasrullah, Muhammad Rikza Nugraha, Daffa Nugraha, Satria Adhi Nugraha, Via Nur Afifah, Via Nurfadilah, Yani Nurhayati, Mila Nurhidayanti, Shopi Nurhidayati, Salma Nurhotimah, Enung Nursifa, Fadia Siti Nurul Muttaqin, Iswan Pahmulyani, Pahmulyani Parlina, Rina Putra, Raka Septyan Rahmawati, Tati Ramadila Aulia, Sri Ramdan, Galih Muhammad Rifaldi, Muhammad Rinda Cahyana Rindu Twidi Bethary, Rindu Twidi Rizkia, Sahren Amalia Rizqi, M. Aris Rizqi, Muhammad Aris Saepurrohman, Aep Saifurrahman, Saifurrahman Salsabila Fitria, Salma Santoso, Bambang Tri Septiani, Yosephina Ardiani Siedik, Nizar Khoerul Anam Siti Rohayani, Siti Sodikin, Eki Nuryana SRI RAHAYU Suaibah Suparman, Neneng Siti Sulistiawati, Risti Sulton ., Sulton Sunarya, Yaya Sundari, Ayu Tata, Muhammad Tati Ruhmawati Ulfa, Rinda Maria Ummah, Wardatul Wardhani, Zamilla Putri Wijaya, Tryana Hadi Yosep Septiana Yulistiani, Sri Yumna Zhafira, Nabila Zahrinafirdaus, Putrie Amanda Zain, Adjeng Afitalia Zakiyatun Nufus, Fatimah Azzahra