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Sistem Pendukung Keputusan Pemilihan Pegawai Terbaik dengan Menggunakan Metode Simple Additive Weighting (SAW) Ismawati, Nunung; Wijaya , Dhina Puspasari; Pramuntadi, Andri; 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.v7i3.31493

Abstract

In human resource management, employee performance is one of the most important elements and must receive full attention from an organization. This is because employee performance is a determinant in achieving organizational goals efficiently and effectively. Therefore, every organization always strives to improve the performance of its employees in order to get the best employees according to the agency. This research develops a Decision Support System (SPK) for selecting the best employees using the Simple Additive Weighting (SAW) method at the Education, Youth and Sports Office (Dikpora) of Bantul Regency, Yogyakarta. The purpose of the research is to create an efficient and objective system in employee evaluation and selection. The SAW method was chosen for its simplicity and effectiveness in handling multi-criteria decisions. Employee performance is assessed based on criteria such as attendance, skills, teamwork, and loyalty, with weights according to their level of importance. This system is built with web technology using PHP, MySQL, and CodeIgniter framework. The results of this system can be accessed easily by users, providing transparency in the assessment process. Based on the results of the calculation, the employee with alternative A1 and obtained a score of 0.925% on behalf of (Albertus Dedi Susilo) became the first rank of the best employee.
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 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.
IMPLEMENTASI ALGORITMA CONTENT-BASED FILTERING UNTUK REKOMENDASI MAKANAN SEHAT BERDASARKAN KALORI PENGGUNA Farhan maulana pangestu; Andri Pramuntadi; Dita Danianti; Dhina Puspasari Wijaya
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.v7i4.6566

Abstract

Rendahnya pemahaman masyarakat, khususnya remaja dan dewasa muda, mengenai kebutuhan kalori harian menjadi salah satu penghalang utama dalam penerapan pola makan sehat. Penelitian ini bertujuan untuk merancang dan membangun sebuah solusi praktis berupa sistem rekomendasi makanan sehat berbasis website. Sistem ini mengimplementasikan algoritma Content-Based Filtering untuk memberikan rekomendasi menu yang dipersonalisasi, dengan kebutuhan kalori harian pengguna dihitung secara otomatis menggunakan rumus Mifflin-St Jeor. Sistem yang dikembangkan berhasil memberikan rekomendasi menu tiga komponen (Pokok, Lauk, Pelengkap) yang total kalorinya terbukti mendekati target kebutuhan pengguna. Hasil pengujian fungsionalitas menggunakan metode Black Box Testing menunjukkan seluruh fitur utama berjalan sesuai harapan, sementara validasi data makanan bersama tenaga kesehatan dari Puskesmas Bongas Indramayu memastikan relevansi menu yang disajikan. Disimpulkan bahwa sistem rekomendasi ini dapat menjadi alat bantu yang efektif bagi masyarakat untuk mengelola pola makan sehat secara mandiri, dengan menyediakan panduan menu yang terukur dan sesuai dengan kebutuhan kalori personal.
SISTEM INFORMASI RESERVASI DAN PENJADWALAN BERBASIS WEBSITE PADA KLINIK GIGI Wibowo, Leni Tri; Danianti, Dita; Gutama, Deden Hardan; Yazid, Ahmad Subhan
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.v7i4.6677

Abstract

Klinik gigi adalah salah satu pelayanan yang membutuhkan suatu sistem informasi, untuk dapat meningkatkan pelayanan kepada para pasien dan pihak yang terkait. Proses registrasi di klinik biasanya masih dilakukan secara semi manual. Pasien mendaftar dengan aplikasi chatting, setelah itu petugas memasukkan data pasien ke dalam form yang tersedia. Hingga saat ini proses pendaftaran dan reservasi pada klinik DL Dental juga masih dilakukan secara semi-manual yang mana setiap pasien datang ke klinik atau dapat mendaftarkan via whatsapp admin. Proses ini mengakibatkan pasien tidak bisa mendapatkan informasi yang pasti mengenai pemeriksaan yang akan dilakukan. Untuk itu diperlukan sistem berbasis teknologi yang dapat membantu pasien dalam melakukan pendafatran dan reservasi. Penelitian ini bertujuan untuk membangun sistem informasi reservasi dan penjadwalan yang lebih efektif dan efisien dengan menggunakan metode pengembangan sistem waterfall. Metode waterfall dipilih karena memiliki tahapan yang terstruktur. Sistem yang akan dibangun memungkinkan pasien untuk mendapatkan pelayanan pemeriksaan yang lebih cepat karena pasien dapat mengakes antrian secara real time. Hasil keluaran yang diharapkan mampu meningkatkan efektifitas pelayanan pada klinik.
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

Abstract

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.
PERANCANGAN SISTEM INFORMASI AKADEMIK DAN KEMAHASISWAAN BERBASIS WEB (STUDI KASUS: LLDIKTI WILAYAH V) Habiburochman, Yoko Khomarudin; Gutama, Deden Hardan; Pramuntadi , Andri; Danianti, Dita
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.v7i4.6735

Abstract

LLDIKTI Region V is responsible for facilitating higher education implementation in Yogyakarta region, but currently lacks a specific platform to display academic and student affairs data to the public. SINTA, research, community service, KIP Kuliah, RPL, PKM, MBKM, and student achievement data are stored in separate internal platforms accessible only to certain administrators. This research aims to design and develop a web-based academic and student information system named "SADEWA" using waterfall method for LLDIKTI Region V. The development method uses Laravel 11 framework, MySQL database, Model-View-Controller architecture, and ApexCharts data visualization. The system successfully displays data from 100 universities with a total of 3,375 data entries including research (125 entries), community service (75 entries), KIP Kuliah (256 entries), RPL (419 entries), PKM (79 entries), student achievements (2,255 entries), and university clustering (166 entries). SADEWA provides public access for Guest users and management access for Admin/Super Admin with bar chart and pie chart visualization features and data download capabilities in PNG, SVG, and CSV formats. System testing using black box testing method with 31 scenarios shows 100% results according to predetermined specifications.
PENERAPAN METODE AHP DAN MFEP DALAM MENENTUKAN PEMILIHAN KOS HARIAN UNTUK WISATAWAN DI DAERAH SLEMAN Danianti, Dita; Prastowo, Wahit Desta
Indonesian Journal of Business Intelligence (IJUBI) Vol 6 No 2 (2023): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v6i2.3763

Abstract

Tingginya wisatawan untuk datang ke jogjakarta sangatlah tinggi. Seiringnya banyaknya wisata yang ada di jogja maka semakin banyak penginapan pula. Oleh karena itu, penginapan merupakan bagian terpenting bagi wisatawan. Berbagai macam penginapan yang ditawarkan baik harga maupun fasilitas yang akan didapatkannya. Kos harian merupakan salah satu penginapan yang cukup diminati dikarenakan biaya lebih murah daripada hotel. Akibat banyaknya kos harian di Jogjakarta khususnya Sleman membuat wisatawan bingung mau menginap di kos yang mana. Adapun faktor sebagai bahan pertimbangan dalam penelitian ini menggunakan delapan kriteria yaitu lokasi, fasilitas kamar, fasilitas umum, harga dan kebijakan, keamanan, fleksibilitas reservasi, ulasan dan reputasi, dan kenyamanan serta kebersihan. Dari hasil kuisioner yang dibagikan ke 150 penghuni kos harian di daerah Sleman di analisis menggunakan metode AHP dan MFEP. Metode AHP digunakan untuk mencari prioritas bobot kriteria sedangkan MFEP untuk perangkingan. Hasil akhir weighted evaluation dan perangkingan diperoleh nilai 0,5543980364 yang dimiliki oleh alternatif A24.