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Eva Yulianti
Institut Teknologi Padang
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Journal : Jurnal Teknoif Teknik Informatika Institut Teknologi Padang

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ANALISA LAHAN DAN REKOMENDASI JENIS TANAMAN PADA PERTANIAN CERDAS BERBASIS IOT Busran, Busran; Syahrani, Anna; Putra, Eko Kurniawanto; Yulianti, Eva; Djauhari, Muhammad vajri
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 12 No 2 (2024): TEKNOIF OKTOBER 2024
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2024.V12.2.92-99

Abstract

Technology-based agriculture is a modern approach that utilises the Internet of Things (IoT) to efficiently support the production process. In Kampung Durian Tarung, Pasar Ambacang, Kuranji, Padang, West Sumatra, a group of horticultural farmers face challenges in determining the type of plants that are suitable for the soil quality of their land. This research develops an IoT-based system for land analysis that can recommend optimal crop types according to soil conditions. IoT technology is implemented to collect soil data, such as pH, moisture, and soil temperature, through wireless sensors. The data is analysed using a fuzzy method, which enables decision-making based on a number of soil quality parameters to provide more precise and real-time recommendations. The trial results show that the system is able to accurately measure soil conditions and provide appropriate crop recommendations based on the soil quality data obtained.  The use of fuzzy methods proved effective in filtering data from sensors and adjusting crop recommendations based on threshold values on pH, humidity, and soil temperature. This research contributes to the field of smart agriculture by presenting an IoT-based solution specific to the needs of local horticulture farmers. Combining wireless sensor technology and fuzzy methods enables analyses that are more adaptive and relevant to the soil conditions on the farm. The success of this research provides direction for the development of similar systems that can be applied in other regions, and underlines the role of IoT technology in supporting agricultural sustainability through optimal utilisation of data.
METODE TOPSIS DALAM SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN OBJEK WISATA Trise Putra , Dede Wira; Santi, Susi Novia; Swara, Ganda Yoga; Yulianti, Eva
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 8 No 1 (2020): TEKNOIF APRIL 2020
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2020.V8.1.1-6

Abstract

Kabupaten Lima Puluh Kota merupakan salah satu wilayah yang menjadi destinasi wisata populer di Sumatera Barat. Objek wisata yang beragam di Kabupaten Lima Puluh Kota menjadikan banyaknya alternatif pilihan bagi wisatawan. Hal ini menjadi kendala apabila wisatawan ingin melakukan wisata yang dapat menyesuaikan dengan kondisi dan kebutuhannya. Berdasarkan kondisi tersebut maka dirasa perlu rancangan sebuah sistem pendukung keputusan yang dapat membantu wisatawan memperoleh alternatif destinasi wisata yang tepat dan sesuai.Pada rancangan ini kriteria yang digunakan adalah jarak tempuh, waktu, biaya akses, fasilitas, transportasi dan jenis wisata. Pada penelitian ini, metode Sistem Pendukung Keputusan yang digunakan adalah TOPSIS karena metode ini memiliki komputasi yang cepat dan sederhana. Platform yang digunakan dalam perancangan sistem ini adalah berbasis web untuk mempermudah akses bagi pengguna terhadap sistem. Berdasarkan rancangan yang telah dibangun maka sistem Pendukung Keputusan dengan metode TOPSIS berbasis web dalam pemilihan lokasi wisata dapat digunakan oleh wisatawan dan memberikan alternative lokasi wisata.   Lima Puluh Kota Regency is one of the areas which is a popular tourist destination in West Sumatra. Diverse attractions in Lima Puluh Kota District make many alternative choices for tourists. This becomes an obstacle if tourists want to travel that can adjust to their conditions and needs. Under these conditions it is deemed necessary to design a decision support system that can help tourists obtain alternative tourism destinations that are appropriate and appropriate. In this design the criteria used are distance, time, access fees, facilities, transportation and type of tourism. In this study, the Decision Support System method used is TOPSIS because this method has a fast and simple computation. The platform used in the design of this system is web-based to facilitate access for users to the system. Based on the design that has been built, the Decision Support system using the web-based TOPSIS method in the selection of tourist sites can be used by tourists and provides alternative tourism isolation.
SISTEM PENDUKUNG KEPUTUSAN PENERIMA BANTUAN PANGAN NON TUNAI (BPNT) UNTUK KELUARGA MISKIN MENGGUNAKAN METODE SIMPLE MULTI ATTRIBUTE RATING TECHNIQUE (SMART) Yulianti, Eva; Farina, Mutia
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 8 No 1 (2020): TEKNOIF APRIL 2020
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2020.V8.1.7-13

Abstract

Pada Kantor Wali Nagari Tigo Jangko ada sebuah program kesejahteraan masyarakat yaitu Bantuan Pangan Non Tunai (BPNT). Dalam pengambilan keputusan pemilihan penerima BPNT terkendala karena cukup banyak data yang diolah atau diseleksi oleh aparatur masih dilakukan secara manual. Proses seleksi yang tidak terbuka mengakibatkan beberapa masalah di Kantor Wali Nagari Tigo Jangko dan di masyarakat itu sendiri. Diantaranya permasalahan tersebut ialah terdapatnya penerima yang salah sasaran .Metode SMART ini mengharuskan pembuat keputusan menentukan bobot bagi setiap attribut. Skor total untuk alternative diperoleh dengan menjumlahkan seluruh hasil perkalian antara rating. Rating tiap attribute haruslah bebas dimensi dalam arti telah melewati proses normalisasi matriks sebelumnya. Data-data yang berhubungan dengan penerima BPNT tentu saja sangat diperlukan.Untuk memenuhi kebutuhan dalam pemilihan penerima BPNT sangat dibutuhkan suatu sistem. Sistem tersebut harus dapat diandalkan untuk mengolah data menjadi informasi yang bermanfaat dalam pengambilan keputusan baik rutin maupun strategis. Sistem Pendukung Keputusan Pemilihan Penerima Bantuan Pangan Non Tunai (BPNT) dapat membantu Kantor Wali Nagari Tigo Jangko dalam menentukan layak atau tidaknya seseorang dalam mendapatkan bantuan BPNT. Hasil Kelayakan Penerima berdasarkan Kriteria yang telah ditentukan.   At the office of the Nagari Tigo Jangko Guardian There is a community welfare program that is Non-cash food aid (BPNT). In decision making BPNT receiver is constrained because there are enough data that is processed or selected by the apparatus is still done manually. The unopened selection process resulted in several problems at the Nagari Tigo Jangko's Office of trustees and in the community itself. Among these problems is the recipient of the wrong target. This SMART method requires decision makers to determine the weight for each attribute. The total score for alternatives is obtained by summing all multiplication results between ratings. The Rating of each attribute must be dimension-free in the sense that past the normalization of the previous matrix. Data relating to BPNT receivers are of course necessary. To meet the needs in the selection of receivers BPNT much needed a system. The system should be reliable to process data into useful information in the decision making both routine and strategic. The decision support system for the recipient of Non-cash food assistance (BPNT) can help the office of Wali Nagari Tigo Jangko to determine whether or not to get the assistance of BPNT. Recipient eligibility results based on predefined criteria
ANALISIS KEPUASAN PELANGGAN TERHADAP KUALITAS PELAYANAN DENGAN METODE IMPORTANCE PERFORMANCE ANALYSIS Yulianti, Eva; Umbara, Tengku
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 8 No 2 (2020): TEKNOIF OKTOBER 2020
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2020.V8.2.78-86

Abstract

Industri jasa pengiriman barang di Indonesia maupun global berkembang sangat pesat.Hal itu dikarenakan nilai transaksi e-commerce atau toko online yang terus meningkat tiap tahunnya.Seiring dengan perkembangan bisnis e-commerce, maka dibutuhkan jasa pengiriman barang yang handal untuk mendukung industri e-commerce di Indonesia.Di era ini banyak perusahaan jasa pengiriman yang bersaing ketat untuk mendapat citra yang baik di masyarakat. Jalur Nugraha Ekakurir (JNE) sebagai perusahaan yang bergerak dalam bidang jasa dituntut untuk memberikan pelayanan yang berkualitas kepada pelanggannya. Penelitian ini bertujuan untuk mengetahui seberapa besar tingkat kepuasan pelanggan JNE terhadap pelayanan yang diberikan dengan menggunakan metode Importance Performance Analysis (IPA). Penelitian ini melibatkan 30 pelanggan JNE Jhoni Anwar Kota Padang. Hasil penelitian menunjukkan bahwa tingkat kepuasan rata-rata pelanggan JNE adalah sebesar 85% . Dari 5 variabel, faktor tangible mencapai nilai kepuasan tertinggi, sementara itu variabel yang memiliki nilai kepuasan terendah adalah reliability. Berdasarkan metode IPA masih terdapat 11 atribut yang harus ditingkatkan kualitas pelayananya.   The freight forwarding industry in Indonesia and globally is growing very rapidly. This is because the value of e-commerce transactions or online stores continues to increase every year. Along with the development of the e-commerce business, reliable shipping services are needed to support the ecommerce industry in Indonesia. In this era, many shipping service companies are competing to get a good image in the community. The Nugraha Ekakurir (JNE) route as a company engaged in the service sector is required to provide quality services to its customers. This study aims to determine the level of JNE customer satisfaction with the services provided by using the Importance Performance Analysis (IPA) method. This study involved 30 JNE customers, Jhoni Anwar, Padang City. The results showed that the average satisfaction level of JNE customers was 85%. Of the 5 variables, the tangible factor reaches the highest satisfaction value, while the variable with the lowest satisfaction score is reliability. Based on the IPA method, there are still 11 attributes that must be improved the quality of service
Co-Authors Adnan, Nurhayati Ardita, Weni Azhanifa, Nur Atika Salma Busran Busran Diah Wulandari Rousdy Djauhari, Muhammad vajri Farhan, Novandra Farina, Mutia Ganda Yoga Swara Hamidah, Alya Irawan, Rian Jonyanis " Lestari, Widya Widi Maghfiroh, Wasiatul Minarni Minarni Nuranjani, Nuranjani nurfirdaus, nunu OPAH ROPIAH, OPAH Pratiwi, Citra Dwi Putra, Dede Wira Trise Putra, Eko Kurniawanto Putri, Mega Mardiana Rahmadany, Deasy Ratnasari Diah Utami Santi, Susi Novia Sari, Juliana Sari, Yuni Astika Siti Hadiyati Nur Hafida Siti Lamusiah, Siti Trise Putra , Dede Wira Umbara, Tengku Wonga, Anastasya