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SISTEM INFORMASI MANAJEMEN PENDISTRIBUSIAN OBAT DENGAN METODE WATERFALL Intan Oktaviani; Vihi Atina; Andreas Sigit Andreas
Biner : Jurnal Ilmiah Informatika dan Komputer Vol 1 No 1 (2022): Januari
Publisher : Program Studi Teknik Informatika, Fakultas Teknik dan Ilmu Komputer, Universitas Sains Al-Qur'an

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Distribusi obat merukapan bagian uatama dalam pengelolaan stok obat. Dalam kegiatan distribusi obat melibatkan beberapa proses antaralain proses terima, stok dan proses keluar obat yang melibatkan pemasok dan yang menerima. Permasalahan yang dihadapi dalam proses pengolahan data distribusi obat yang saat ini dilakukan adalah masih diketik pada komputer dengan menggunakan microsoft excel. Dalam proses pengolahan data masih dirasa banyak kekurangan antara lain penyimpanan data yang terlalu banyak menyebabkan sering terjadi redudansi (data yang sama), data tidak konsisten, data yang tersimpan tidak beraturan, data kurang aman, memungkinkan data bisa hilang, seringnya terjadi kesalahan data, kurang lengkapnya data akan membuat kurir terhambat dalam pendistribusian. Terkait dengan permasalahan diatas, sistem informasi manajemen pendistribusian obat dibutuhkan untuk mendukung kinerja pendistribusian obat. Pada saat ini jasa proses pendistribusian obat masih banyak dibutuhkan. Diperlukan suatu manajemen pendistribusian obat berbasis web untuk membantu menyajikan informasi obat yang mempermudah rekap data dan digunakan untuk evaluasi setiap bulannya. Dimana metode penelitian yang digunakan dalam penelitian ini adalah metode pengembang sistem waterfall, yang meliputi analisis kebutuhan sistem, desain, pengkodean dan pengujian. Pengembangan sistem ini menggunakan bahasa pemrograman PHP dan database MySQL.
E-Farm Marketplace In Hasanah SMEs Intan Oktaviani; Vihi Atina; Dedi Nugroho
Proceeding of International Conference on Science, Health, And Technology Proceeding of the 1st International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (915.285 KB) | DOI: 10.47701/icohetech.v1i1.802

Abstract

In the practice of animal husbandry there are still problems, namely the interaction of livestock actors who are less harmonious and less optimal marketing and sales of livestock. In addition, the presence of middlemen (intermediaries of farmers and consumers) in the sale of livestock products activities worsen the conditions of farmers. In this case it makes the farmers lose, because they get a small profit compared to the middlemen. Brokers are usually located in rural areas where people still lack information technology. As a result, they do not know the actual selling price of livestock products. The purpose of this research is to Design and Build an E-Farm for Livestock so that it can help improve the general economy of the community and facilitate the sharing system for livestock, livestock auctions and livestock trading. The System Development Method in this study uses the Rapid Application Development (RAD) Method. and System Design using Unified Modeling Language (UML). Testing this system uses the blackbox testing method and user testing using the questionnaire method. The results of testing through the blackbox can be concluded that the system developed can run and in accordance with expectations. The results of testing through the questionnaire obtained results for superadmin E-Farm Farms have been running well all the features in the system, for the leadership of this system can make reports, for breeders and member systems can help livestock marketing and livestock sharing systems.
Rule Based System in E-Commerce Dolanan Bocah Pinter Intan Oktaviani; Vihi Atina
Proceeding of International Conference on Science, Health, And Technology 2021: Proceeding of the 2nd International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2302.832 KB) | DOI: 10.47701/icohetech.v1i1.1134

Abstract

The development of information technology during the industrial revolution 4.0, the existence of the internet is very much needed by the community. The sales and purchasing process is no exception. SMEs Dolanan Bocah Pinter is SMEs making educational toys for kindergarten children. Various types of educational toys have been produced. The selling and buying process currently running is face-to-face between the seller and the buyer. For the promotional media for SMEs Bocah Pinter, they still use the conventional method, namely by distributing brochures and catalogs to kindergarten schools. This is an obstacle to the development of SMEs Bocah Pinter. Because buyers are only from local residents. With these problems, E-commerce was designed by implementing a Rule Based system. For the system development method using the RAD method. SWOT analysis is used to analyze business processes and PIECES analysis for weakness analysis of the running system compared to the system to be developed. E-commerce design is expected to help SMEs Bocah Pinter in developing its business, it is hoped that buyers will not only come from the surrounding community but from various regions.
CLOTHING PRODUCT SELECTION RECOMMENDATION SYSTEM WITH KNOWLEDGE BASED RECOMMENDATION METHOD Vihi Atina; Dwi Hartanti
Proceeding of International Conference on Science, Health, And Technology Proceeding of the 3rd International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (732.633 KB) | DOI: 10.47701/icohetech.v3i1.2267

Abstract

The market which is the largest wholesaler of clothing in Central Java is the Klewer market area and its surroundings. One of the clothing stores in the area is the Simple Inc Store. Simple Inc Store is a large kiosk that sells clothing products in the form of various types of shirts, t-shirts, jackets, sweaters and pants. Sales of products in these stores are still done conventionally, namely customers come directly to the store to choose and buy products. The number of clothing products that are sold makes customers experience difficulties in the process of selecting clothing products. Therefore, it is necessary to develop a recommendation system that can assist customers in choosing clothing products. The purpose of this study is to build a Recommendation System for Selection of Clothing Products by applying the Knowledge Based Recommendation method. The research method used in this research is Rapid Application Development (RAD) which consists of 5 stages, namely Business Modeling, Data Modeling, Process Modeling, Application Generation, and Testing. Knowledge based recommendation has the advantage of being able to set the level of user priority based on the user's needs for the product. Knowledge based recommendation on the recommendation system for the selection of clothing products can provide 5 choices of search attributes for clothing products, namely brand, price, material, color and size. clothing product selection recommendation system can display clothing product information, perform clothing searches based on customer needs based on a choice of 5 attributes and can display clothing product recommendations. Clothing products with the highest similarity value are displayed as clothing product recommendations. The results of the system testing using the blackbox testing method show that the functions in the recommendation system for selecting clothing products have successfully run as expected.
Sistem Pakar Tes Psikologi Dengan Menggunakan Metode Dominance Influence Steadiness And Compliance Muhammad Fahmi Panwar; Eko Purwanto; Vihi Atina
Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Prosiding Seminar Nasional Teknologi Informasi dan Bisnis (SENATIB) 2022
Publisher : Fakultas Ilmu Komputer Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (370.001 KB) | DOI: 10.47701/senatib.v2i1.1893

Abstract

Aplikasi berbasis web pada saat ini banyakdigunakan oleh kalangan masyarakat khususnya perusahaanyang lebih membutuhkan terutama di bidang informasi.Informasi dapat diperoleh diberbagai macam media elektronik(media sosial) maupun media cetak. Pada sistem aplikasi inidigunakan untuk menggumpulkan informasi data manusia.Mayoritas test kepribadian dilakukan secara manual. Dari haltersebut tujuan dari penelirian ini dibuatkan sebuah sistemaplikasi psikotest berbasis web untuk memudahkan seseorangdalam memperoleh informasi tentang kepribadiannya. Testkepribadian dikategorikan berbagai macam menurut metodepembagian kepribadian manusia yang digunakan.Terkategorikan menjadi empat macam kepribadian yaituDominance, Influence, Steadiness atau Compliance.
SISTEM PAKAR DIAGNOSA PENYAKIT INFEKSIUS HEWAN TERNAK SAPI Anjar Setiawan; Vihi Atina; Dwi Hartanti
Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Prosiding Seminar Nasional Teknologi Informasi dan Bisnis (SENATIB) 2022
Publisher : Fakultas Ilmu Komputer Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (436.032 KB)

Abstract

Abstrak—Biasanya peternak menanganinya dengan membuatjamu tradisional berupa campuran telur ayam jawa, madu, tempeyang setengah berjamur lalu digoreng dan dicampur jadi satu dandiberikan ke sapi tersebut. Setelah ditunggu dua sampai tiga jammasih belum ada perubahan peternak langsung menghubungimantri atau pakar terdekat untuk memberikan solusi awal bagimasalah peternak di daerah Boyolali terutama infeksius ternak sapi yaitu sapi helminthiasis (cacingan) yang diare terus-menerus, keluar cacing dari lubang anus, dan nafsu makan berkurang. Extreme Program merupakan metodologi dalampengembangan agile software development metodologis yangberfokus pada pengkodean (coding) yang menjadi aktivitasutama dalam semua tahapan pada siklus pengembanganperangkat lunak. Dengan 4 metode Extreme Programming yangdilakukan yaitu planning, design, coding, dan testing. MetodeCF digunakan dalam penerapan sistem pakar ini untuk mengukurtingkat kepastian dalam mendiagnosis penyakit. Sistem pakaryang dihasilkan terdapat dua hak akses yaitu pakar danpengguna. Fitur hak akses pakar yaitu admin, penyakit, gejala,pengetahuan, post keterangan, ubah password, dan tentang.Kemudian hak akses pengguna yaitu keterangan penyakit,diagnosa penyakit, riwayat penyakit, info harga dan tentang padamenu beranda. Kesimpulan testing (pengujian) berhasilmenerapkan pengujian sistem menggunkan metode black boxtesting, pengujian perhitungan, dan pengujian kuesioner.Pengujian kuesioner untuk pakar memiliki nilai rata-rata totalpresentase setuju 100% dan untuk pengguna memiliki rata-ratatotal presentase sangat setuju 25% dan setuju 75%.
Animasi Media Pengenalan Profesi Untuk Siswa TK Muslimin Surakarta Dimas Abimanyu Sutrisno Putro; Joni Maulindar; Vihi Atina
Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Prosiding Seminar Nasional Teknologi Informasi dan Bisnis (SENATIB) 2022
Publisher : Fakultas Ilmu Komputer Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (224.329 KB)

Abstract

Pengenalan profesi sejak dini sangatlah bermanfaatbagi anak untuk menambah wawasan menenai profesi, sehinggaorangtua bisa mengarahkan anak pada cita-cita di masa depan.Pengenalan profesi bisa didapat anak dari guru atau orangtua,namun tentu profesi-profesi yang diajarkan terbatas. Profesimerupakan suatu pekerjaan yang mengandalkan ketrampilandan keahlian khusus yang didapatkan melalui pendidikanataupun pengalaman kerja, namun tidak semua pekerjaanadalah profesi. Pengenalan profesi sebaiknya dilakukan sejakusia dini dimana perkembangan otak anak sangat pesat. Metodepengembangan sistem pada penelitian ini yaitu metode MDLC(Multimedia Development Live Cycle), yang terdiri dari 6tahapan, yaitu concept (konsep), design (perancangan), materialcollecting (pengumpulan bahan), asembly (pembuatan), testing(pengujian), dan ditribuition (pendistribusian). Mediapengenalan yang dikembangkan yaitu pengertian profesi,pentingnya mengenal profesi, macam-macam profesi dantugasnya. Untuk membangun video animasi ini menggunakanAdobe After Effect CC 2015, Adobe Premiere Pro CC 2021, dandesain gambar dengan Coreldraw 2021, hasil dari penelitianini adalah video animasi 2 Dimensi pengenalan profesi untuksiswa TK Muslimin Surakarta.
PEMODELAN PREDIKSI KELULUSAN MAHASISWA DENGAN METODE NAÏVE BAYES DI UNIBA Nur Mahar Aji mahar; Vihi Atina; Nugroho Arif Sudibyo
Jurnal Manajemen Informatika dan Sistem Informasi Vol. 6 No. 2 (2023): Misi Juni 2023
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36595/misi.v6i2.875

Abstract

Kualitas perguruan tinggi dapat diukur berdasarkan akreditasi yang dikeluarkan oleh Badan Akreditasi Nasional Perguruan Tinggi atau BAN-PT. Salah satu kriteria penilaian akreditasi yaitu jumlah lulusan mahasiswa. Universitas Islam Batik Surakarta (UNIBA), merupakan salah satu perguruan tinggi swasta di kawasan Surakarta yang memiliki empat fakultas, dengan jumlah mahasiswa yang terus mengalami peningkatan maupun penurunan disetiap tahunnya. Penelitian ini menggunakan metode naïve bayes untuk melakukan prediksi terhadap kelulusan mahasiswa tepat waktu ataupun terlambat, dengan hasil prediksi yang dapat dijadikan sebagai informasi dan masukan data bagi perguruan tinggi untuk meningkatkan kualitas perguruan tinggi. Metode naïve bayes memiliki kelebihan, diantaranya dapat memprediksi jumlah kelulusan berdasarkan data–data konkrit, agar hasil yang diperoleh dapat dipertanggungjawabkan dan digunakan untuk prediksi selanjutnya. Dalam melakukan prediksi, diperlukan 14 variabel, antara lain jenis kelamin, status mahasiswa, umur, status menikah, indeks prestasi semester 1, indeks prestasi semester 2, indeks prestasi semester 3, indeks prestasi semester 4, indeks prestasi semester 5, indeks prestasi semester 6, indeks prestasi semester 7, indeks prestasi semester 8, indeks prestasi kumulatif, dan keterangan lulus. Dari data set sebanyak 302 mahasiswa dengan 14 atribut mahasiswa angkatan 2018 Universitas Islam Batik Surakarta dengan menggunakan bahasa pemrograman python dan software jupyter notebook, penulis memperoleh hasil akurasi ketepatan prediksi sebesar 85%, dengan nilai precision terlambat 0.42, precision tepat 0.95, recall terlambat 0.65, recall tepat 0.88, f1-score terlambat 0.51, f1-score tepat 0.91.
Pemodelan Sistem Pendukung Keputusan Pemilihan Supplier Batu Alam Dengan Algoritma Moora Pada Cv. Karisma Alam Aldi Wahyudi Arta; Vihi Atina; Nugroho Arif Sudibyo
Infotek: Jurnal Informatika dan Teknologi Vol. 6 No. 2 (2023): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v6i2.12568

Abstract

CV. Karisma Alam is one of the largest natural cutting industries in the Candirejo area. The best supplier is one of the most important factors in production activities at this company, because it will produce good output too. Due to the large number of suppliers in this region, it is difficult for entrepreneurs to determine which supplier is the best according to the output to be produced. In the decision-making process for selecting natural stone suppliers, it is still done manually, so production activities take a long time. This decision support system assists in the decision-making process in selecting natural stone raw material suppliers at CV. Karisma Alam. In this decision support system, criteria are needed to determine the best supplier. In this study the authors used the MOORA (Multi-objective Optimization on The Basic Of Ratio Analysis) method as a decision-making method. The method used in the preparation and design uses PHP (Hypertext Preprocessor). In this study it was produced that alternative A6 was the highest alternative with a value of 0.0031. This proves that decision support systems can help and be applied to CV. Karisma Alam in selecting the best supplier.
Perancangan Sistem Pendukung Keputusan Pemilihan Peserta LKS Dengan Kombinasi Metode Gain Ratio Dan Moora Agung Saputro; Vihi Atina; Rudi Susanto
Infotek: Jurnal Informatika dan Teknologi Vol. 6 No. 2 (2023): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v6i2.12570

Abstract

At SMK Negeri 1 Kismantoro, before this system was used, it used to only use manual or subjective methods, meaning that teachers still chose students directly. The selection of outstanding students must really be used as a reference for the following year to ensure increased academic success. This competition is held every year. SMK Negeri 1 Kismantoro sends a team every year to advance in this competition. Decision support systems can be made using several methods, one of which is the Moora and Gain Ratio method. This support system can assist in making decisions in selecting outstanding students for the SMK Negeri 1 Kismantoro competition. Operation of the Moore method consists of giving weight to each criterion. The Increment Ratio method is carried out to find the criteria used in the moora method, namely with the highest value having 4 of the highest, namely the card criteria is directly proportional to the gain of (0.44644), practice with a gain of (0.88129), attitude (personality) with the advantage (0.44644), skills with advantage (0.42836). The Moora method can choose alternatives and rank them to make the best student recommendations based on predetermined criteria where the Lutfiyatul Rosida alternative (A10) is the student with the best performance with Yi-Max = 0.165.
Co-Authors Adri Surya Kusuma Agung Saputro Agustina Srirahayu Akbar Permana, Danny Aldi Wahyudi Arta Amad Tri Yanto Andi Saputro Andreas Sigit Andreas Anin Aliya Pahlevi, Khumaira Anisatul Farida Anjar Setiawan Aprilisa Arum Sari Ardi Lestari, Sofiana Arlin Govinda Putra Atmojo, Fernando Winantya Bagaskara, Ikrar Bagaskara, Mochammad Naufal Bagus Muhammad Latif Bambang Prasetyo Bawindra Surya, Lintang Chiva Olivia Bilah Dedi Nugroho Dimas Abimanyu Sutrisno Putro Dinita Christy Pratiwi Dwi Hartanti Dwi Hartanti Dwi Hartanti Eko Purwanto Eko Purwanto Ema Sagita Desylawati endra setiyawan Esti Suryani Fajrin Fadhilah, Dayinta Fajrin, Shoffia FAULINDA ELY NASTITI Faulinda Ely Nastiti Hafids Sidiq, Muhammad Hartanti , Dwi Hartanti, Dwi Hasanah, Herliyani Imaduddin, Mohamad Indrastata, Ilham Buyung Infantono, Ardian Intan Oktaviani Janah, Selvi Miftakhul Joni Maulidar Kurnia Sari, Vena Lufti Puspitasari Maulidar, Joni Maulindar, Joni Meraldy Fiko Rastio Ajie Mohd, Farahwahida Muhamad Ridwan Muhammad Alwan Nurdin Muhammad Dhafa Diar Ardhana Muhammad Fahmi Panwar Muhammad Frasha Candra Perdana Nailurrizqi, Adistya Nastiti, Faulinda Eli Niken Pratiwi, Niken Nugroho Arif Sudibyo Nur Arifin, Taufiq Nur Mahar Aji mahar Nurchim Nurchim Nurdin, Muhammad Alwan Nurlita, Catarina Ivanda Nurmalitasari Nurmalitasari Nurmalitasari Nurmalitasari Oktaviani, Intan Pegi Hasyim Rosidi Permatasari, Hanifah Pipin Widyaningsih Pradana, Afu Ichsan Pradityo Utomo Pramoedya Ananta Dzikri Pratiwi, Dinita Christy Purnama, Joel Adikurnia Purwanto, Eko Putra, Hasda Surya Putri, Della K. Putri, Desy Puspa Ragil Saputro, Abdullah Raharisti, Nur Arifah Ramadhan, Chandra Ratmini, Yuli Reza Pradana, Areta Ridwan, Alfian Junior Rifan Amirul H, Muhammad Rifdah Azizah, Hani Rizky Setiawan, Fadli Rudi Susanto Rusdiana Ekawati, Ratih Saputra, Dwi Bagus Saputri, Okta Ramma Saputro, Nurbagus Sejati, Ariya Putra Setiawati, Neha Poetri Sihwi, Sari W. Sopingi Sopingi, Sopingi SRI SUMARLINDA Srisuk, Prattana Sulami, Atik Sulistiyo, Galih Suwandi, Djatmiko Tanwal Hu, Wupiwulang Taufiq NurHidayat Theo Santoso, Daniel Umi Salamah Utomo, Dimas Cahyo Viona Putri Ardiana Vita Aryadi Wahyu Kurniawan, Christian Wibowo, Anita Carolina Wiharto Wiharto Wijiyanto Wijiyanto Wijiyanto, Wijiyanto Yommy Adhiwira Yudha