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Penerapan Metode Simple Additive Weighting (SAW) untuk Pemilihan Calon Penerima Beasiswa pada SMPN 3 Kasihan Safitri, Nurul Aulia; Gutama , Deden Hardan; Wijaya, Dhina Puspasari; Danianti, Dita
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 3 (2024): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i3.31444

Abstract

Education is an important aspect of human life, because education is one of the supports for realizing a change in order to achieve progress in various sectors of life, such as in the economic, social, cultural and political sectors Currently the government has a free education program and has established a 12-year compulsory education program. To support the program, many government and private institutions provide educational assistance through scholarship programs. SMPN 3 KASIHAN gets a quota for its students to participate in scholarship programs from the government, one of which is the Smart Indonesia Program (PIP) scholarship. The selection process at SMPN 3 KASIHAN has not implemented a method and is still done manually. This research aims to build a web-based scholarship decision support system using the Simple Additive Weighting (SAW) method and apply the method according to the criteria set by SMPN 3 KASIHAN. System modeling uses the Unified Modeling Language (UML) and for design is used Use Case Diagram modeling tools, Activity Diagrams, and the programming language used is PHP. Based on the results of the discussion during the research, it is concluded that the system under study fulfills the initial objectives of the research, namely helping SMPN 3 KASIHAN in determining the appropriate scholarship recipient, so as to reduce errors in determining scholarship recipients.  
Perancangan Sistem Pemantauan Kelembaban Tanah, Kelembaban Udara, dan Suhu Udara pada Lahan Pembibitan Kakao Menggunakan Mikrokontroller Berbasis Internet of Things (Strudi Kasus: Pembibitan Efendi Farm) Haq, Fariz Abdillah; Pramuntadi, Andri; Wijaya, Dhina Puspasari; Danianti, Dita
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 3 (2024): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i3.32153

Abstract

This study aims to design a monitoring system for soil moisture, air humidity, and air temperature in a cocoa seedling farm using a microcontroller-based Internet of Things (IoT). The system was implemented at Efendi Farm, which houses 20,000 cocoa seedlings. Monitoring is conducted using soil moisture sensors and DHT22 sensors for temperature and humidity, with data displayed on an LCD and sent to an Android application via Firebase. The system also includes notifications via buzzer and Telegram, as well as data logging using Google Spreadsheet. The results indicate that the system effectively monitors environmental conditions in real-time and efficiently.
Sistem prediksi pengadaan stok bahan baku kayu menggunakan Metode Double Exponential Smoothing (Studi Kasus: CV. Jati Sari) Wasilaturrohmah, Wasilaturrohmah; Pramuntadi, Andri; Wijaya, Dhina Puspasari; Danianti, Dita
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 4 (2024): October
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i4.32518

Abstract

In managing the supply of wood raw materials at CV. Jati Sari is still carried out based on the personal experience of business entity owners. Because it is based on personal experience without carrying out in-depth analysis or forecasting, it will create a risk of excess or shortage of stock, making stock management inefficient. The software development method used is the Waterfall method. Double Exponential Smoothing is implemented in this research as a forecasting prediction calculation method. This research produces a prediction system that can produce output in the form of a predicted amount of wood needed as inventory or stock in the warehouse in cubic meters. For manual calculations, the DES method has a prediction calculation result for the 21st period of 4.8 m3. Based on the system testing using black box and white box testing that has been carried out, it can be concluded that the prediction system for procurement of wood raw material stock using the website-based Double Exponential Smoothing method has succeeded well in solving the problem of predicting the amount of wood raw material stock for the next period at CV. Jati Sari.
Sistem pendukung keputusan dalam menentukan balita stunting menggunakan metode Simple Additive Weighting (SAW) berbasis website Sari, Mega Purnama; Wijaya, Dhina Puspasari; Pramuntadi, Andri; Danianti, Dita
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 4 (2024): October
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i4.33319

Abstract

The health center that has the highest prevalence of stunting in Sleman Regency is the Minggir health center at 13.15%. The results of interviews with nutrition officers for toddlers at the Minggir Health Center showed that there were still toddlers with poor nutritional status. In addition, the nutrition service system for toddlers has not functioned properly.  Because such suboptimal performance will, it is easier to create a system that can handle or minimize such problems. Thus, building a decision support system can be a solution to the problem that occurs. The SAW method is one of the methods used and the system is designed using the PHP programming language, MySQL database and  laravel framework. The research resulted in the creation of a website that can determine the nutritional status of stunted toddlers at the Minggir Health Center Posyandu. This system is designed according to the needs based on the criteria that have been set by the nutrition officer. In the application test, the preference values and nutritional status results obtained from calculations using the system were in accordance with the results of manual calculations with Excel and the nutritional status determination system was as expected.  
Sistem Pendukung Keputusan Penentuan Nutrisi Masa Kehamilan Menggunakan Metode Analitycal Hierarcy Process (AHP) Yusnita, Shella; Wijaya, Dhina Puspasari; Yazid, Ahmad Subhan; Pramuntadi, Andri
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 1 (2026): JANUARY 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v10i1.5137

Abstract

Many pregnant women still neglect the importance of nutrition during pregnancy, which leads to inadequate nutrient intake and increases the risk of complications such as miscarriage, low birth weight, premature birth, or infant mortality. At Gamping 1 Health Center in 2024, out of 1,793 pregnant women examined, approximately 3.35% or 60 individuals suffered from Chronic Energy Deficiency (CED) and 4.96% or 89 individuals experienced anemia. The method used is the Analytical Hierarchy Process (AHP) because it is one of the approaches that can break down complex multi-factor or multi-criteria problems into a hierarchy. Practically, this system can help pregnant women meet their daily nutritional needs optimally and support healthcare workers in providing data-based education. Thus, this DSS is expected to contribute to reducing the rates of CED and anemia among pregnant women.
Sistem Pendukung Keputusan Pemilihan Alat Kesehatan pada Poli Gigi Menggunakan Metode Fuzzy Mamdani (Studi Kasus: Klinik Pratama Wiwit) Safitri, Eli; Wijaya, Dhina Puspasari; Pramuntadi, Andri; Gutama, Deden Hardan
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 1 (2026): JANUARY 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v10i1.5145

Abstract

Dental equipment plays a crucial role in supporting the quality of service at the Dental Clinic. At the Pratama Wiwit Clinic, equipment selection is still done manually without systematic analysis, making it prone to procurement errors and budget waste. The main research question is how the Mamdani Fuzzy Method can help determine the best dental equipment based on criteria such as price, brand, warranty, supplier, and equipment degradation. The research method includes data collection through observation, interviews, and documentation, followed by fuzzification, rule formation, fuzzy inference, and defuzzification. Test results show the system provides accurate recommendations with the highest fuzzy value of 0.85 for a device prioritized for procurement. This system has been proven to improve the objectivity and efficiency of the procurement process and can be adopted by other dental clinics to minimize waste and ensure the availability of equipment as needed.
Sistem Pakar untuk Mendiagnosis Penyakit pada Ibu Hamil Menggunakan Metode Forward Chaining Berbasis Web (Studi Kasus: RSU Mitra Paramedika Tahun 2024) Asdistia, Sindy; Wijaya, Dhina Puspasari; Danianti, Dita; Yazid, Ahmad Subhan
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 2 (2026): APRIL 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v10i2.5413

Abstract

The Maternal Mortality Rate (MMR) in Indonesia remains relatively high, partly due to delays in recognizing pregnancy danger signs and the lack of proper monitoring of maternal conditions. Therefore, a technology-based system is needed to support the early detection of pregnancy-related diseases. This study aims to develop a web-based expert system for diagnosing diseases in pregnant women using the forward chaining method with a classical probability approach. The research employed the waterfall model. The system’s knowledge base consists of 15 types of pregnancy-related diseases and 73 symptoms, with diagnostic rules validated by experts. The system was tested using blackbox testing as well as validation of diagnostic results with experts. The results showed that the system was able to produce diagnoses consistent with experts in 14 out of 15 test cases, achieving an accuracy rate of 93.33%. The system is also equipped with a feature for uploading and storing ultrasound (USG) results to support coordination among healthcare facilities. In conclusion, this web-based expert system can be used as an early diagnostic tool and an educational medium for pregnant women, and has the potential to make a significant contribution to reducing maternal mortality in Indonesia.
SISTEM PAKAR DIAGNOSIS AUTISME PADA ANAK BERBASIS WEB DENGAN FORWARD CHAINING DAN CERTAINTY FACTOR Juansa, Andra; Yazid, Ahmad Subhan; Gutama, Deden Hardan; Wijaya, Dhina Puspasari
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 4 (2025): EDISI 26
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i4.6696

Abstract

Autisme merupakan gangguan perkembangan neurologis yang memengaruhi kemampuan komunikasi, interaksi sosial, dan perilaku anak sejak dini. Deteksi dini menjadi krusial mengingat periode perkembangan otak anak yang sangat cepat, sehingga intervensi dapat diberikan lebih efektif. Penelitian ini bertujuan merancang dan mengembangkan sistem pakar berbasis web untuk membantu proses diagnosis dini gangguan autisme pada anak menggunakan metode Forward Chaining dan Certainty Factor. Metode Forward Chaining digunakan untuk menelusuri fakta gejala berdasarkan aturan logika IF–THEN, sedangkan Certainty Factor dimanfaatkan untuk menghitung tingkat kepastian diagnosis berdasarkan bobot kepercayaan dari setiap gejala yang dipilih pengguna. Sistem dibangun menggunakan bahasa pemrograman PHP dan basis data MySQL, serta diimplementasikan dengan model pengembangan Waterfall. Hasil pengujian Blackbox menunjukkan bahwa sistem berjalan sesuai fungsi yang dirancang dan menghasilkan keluaran yang selaras dengan pendapat pakar. Sistem ini diharapkan dapat mempermudah orang tua maupun tenaga medis dalam melakukan skrining awal autisme, khususnya di wilayah dengan keterbatasan akses layanan kesehatan, sekaligus meningkatkan kesadaran masyarakat akan pentingnya diagnosis dini gangguan autisme.
SISTEM PAKAR PENENTUAN JENIS KULIT WAJAH MENGGUNAKAN SAW DAN RULE-BASED UNTUK REKOMENDASI SKINCARE Sari, Icha Puspita; Danianti, Dita; Wijaya, Dhina Puspasari; Pramuntadi, Andri
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 4 (2025): EDISI 26
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i4.6733

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Perkembangan teknologi dan media sosial telah mendorong peningkatan kesadaran masyarakat akan pentingnya perawatan kulit. Namun, tingginya biaya konsultasi dokter spesialis kulit (Rp100.000-250.000/sesi), banyaknya informasi tidak tervalidasi di internet, serta kompleksitas pemilihan produk skincare yang tepat menjadi kendala utama. Penelitian ini bertujuan mengembangkan sistem pakar berbasis web untuk menentukan jenis kulit wajah dan memberikan rekomendasi skincare yang akurat dan terjangkau bagi masyarakat. Metode Simple Additive Weighting (SAW) dipilih karena kemampuannya dalam melakukan pembobotan kriteria dan perangkingan alternatif secara sistematis untuk menghasilkan penilaian yang objektif. Rule-Based System diimplementasikan untuk memberikan rekomendasi berdasarkan aturan if-then yang dapat ditelusuri logika pengambilan keputusannya. Pengembangan menggunakan metode Waterfall dengan framework Laravel, database MySQL, dan basis pengetahuan dari dokter spesialis kulit. Sistem mengklasifikasikan lima jenis kulit (normal, berminyak, kering, sensitif, kombinasi) berdasarkan 25 karakteristik dengan pembobotan SAW, kemudian Rule-Based System memberikan rekomendasi ingredients dan produk sesuai jenis kulit terdeteksi. Hasil pengujian Black Box Testing menunjukkan tingkat keberhasilan 100% untuk semua fitur sistem. Sistem berhasil memberikan alternatif konsultasi yang terjangkau, membantu masyarakat mendapatkan informasi akurat tentang jenis kulit dan rekomendasi perawatan yang tepat.
Implementasi Logika Fuzzy Tsukamoto Terhadap Pengambilan KRS Mahasiswa Informatika Universitas Alma Ata Dhina Puspasari Wijaya; Salis Nizar Qomaruzaman; Andri Pramuntadi; Dita Danianti
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 7, No 6 (2024): Desember 2024
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v7i6.8277

Abstract

Abstrak - Proses pengisian Kartu Rencana Studi (KRS) merupakan langkah krusial dalam perjalanan akademik mahasiswa di perguruan tinggi, yang tidak hanya mencakup pemilihan mata kuliah tetapi juga penjadwalan dan pengaturan kelas. Dalam konteks ini, Universitas Alma Ata berupaya meningkatkan efisiensi dan efektivitas pengisian KRS melalui implementasi sistem berbasis Fuzzy Tsukamoto. Penelitian ini bertujuan untuk mengembangkan sistem rekomendasi KRS yang dapat memberikan saran berdasarkan variabel seperti Indeks Prestasi Kumulatif (IPK), mata kuliah yang diulang, dan peminatan. Dengan sistem ini, mahasiswa diharapkan dapat merancang rencana studi yang lebih optimal, mengurangi beban kerja dosen pembimbing akademik (DPA), serta meminimalkan kesalahan dalam pengisian KRS yang sering terjadi pada sistem manual saat ini. Selain itu, sistem ini dirancang untuk mengatasi tantangan seperti keterlambatan pengisian KRS, kelalaian mahasiswa dalam mengetahui mata kuliah yang mengulang, serta memberikan fleksibilitas dalam aksesibilitas. Penelitian ini juga mengidentifikasi pentingnya konsultasi dengan DPA dalam proses perencanaan studi, serta menekankan perlunya sistem yang dapat beradaptasi dengan berbagai skenario akademis, termasuk program Merdeka Belajar Kampus Merdeka (MBKM) untuk kedepannya. Dengan demikian, implementasi logika Fuzzy Tsukamoto diharapkan dapat meningkatkan akurasi, efisiensi, dan personalisasi dalam pengisian KRS, serta mendukung mahasiswa dalam mencapai tujuan akademik dan profesional mereka secara tepat waktu..Kata kunci : Kartu Rencana Studi, Logika Fuzzy Tsukamoto, Sistem Rekomendasi Berbasis Website, Perencanaan Studi, Akademik Mahasiswa Abstract - The process of filling out the Study Plan Card (KRS) is a crucial step in the academic journey of students in higher education, which includes not only course selection but also scheduling and class arrangements. In this context, Alma Ata University seeks to improve the efficiency and effectiveness of filling KRS through the implementation of a Fuzzy Tsukamoto-based system. This research aims to develop a KRS recommendation system that can provide suggestions based on variables such as Cumulative Grade Point Average (GPA), repeated courses, and specializations. With this system, students are expected to be able to design a more optimal study plan, reduce the workload of academic supervisors (DPA), and minimize errors in filling out KRS that often occur in the current manual system. In addition, this system is designed to overcome challenges such as delays in filling out KRS, student negligence in knowing which courses are repeated, and providing flexibility in accessibility. This study also identifies the importance of consultation with DPA in the study planning process, and emphasizes the need for a system that can adapt to various academic scenarios, including the Independent Learning Independent Campus (MBKM) program for the future. Thus, the implementation of Fuzzy Tsukamoto's logic is expected to improve accuracy, efficiency, and personalization in filling out KRS, as well as support students in achieving their academic and professional goals in a timely manner. Keywords - Study Plan Card, Fuzzy Tsukamoto Logic, Website-Based Recommendation System, Study Planning, Student Academic