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All Journal Agromet SISFOTENIKA ICIT (Innovative Creative and Information Technology) Journal Fikrah: Jurnal Ilmu Aqidah dan Studi Keagamaan
Ahmad Sururi
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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The Cooling Effect Estimation of Green Space Area Using an Empirical Approach in IPB Darmaga Campus Sobri Effendy; Ahmad Sururi
Agromet Vol. 31 No. 2 (2017): DECEMBER 2017
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (729.006 KB) | DOI: 10.29244/j.agromet.31.2.53-61

Abstract

Green space area has contributed to increase atmospheric condition in surrounding area. Here we would like to test the cooling effect of small green area located in IPB campus Darmaga. We monitored air temperature at the morning (6 am) and afternoon (2 pm) for period March-June 2013 in three different sites in campus. Totally, we collected 658 observed data. Our results showed that partial shade area (PSA) and site were the most influenced factors that contributed to the cooling effect. It appears that the cooling effect was found until a distance of 50 m from each monitoring site.  The cooling effect varied among sites, but it is consistent that the maximum effect occurred during afternoon. Our analysis confirmed that PSA has contributed to the cooling effect until 28%. Other factors that contributed to the cooling effect were vegetation characteristics and geometric configuration of the canopy. Further, our findings revealed that greenspace area is valuable to minimize high temperature effect from traffic street.
Survey of Chatbot Testing Methods on Social Media to Measure Accuracy Ratna Ayu Sekarwati; Ahmad Sururi; Rakhmat Rakhmat; Miftahul Arifin; Arief Wibowo
SISFOTENIKA Vol 11, No 2 (2021): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30700/jst.v11i2.1099

Abstract

The design of Chatbot aims to facilitate social activities in all areas to be considered. A Chatbot is one type of machine that can communicate with humans using natural language. Chatting is used to communicate, and it is a written conversation. Chatbot is a form of application implementation Natural Language Processing (NLP) that belongs to one branch of artificial intelligence or Artificial Intelligent AI social media now provides a service that allows developers to process and integrate chatbot applications. This paper aims to review the papers that build chatbot applications for various social media using various testing methods. The contribution to this paper is to determine which method can measure the level of chatbot accuracy best. This review paper will choose the equations of the most widely used test methods and social media from various papers, so that further research is expected to implement the right testing methods and use better social media in terms of user experience, features, and services. According to the review papers and papers, the Black-box and System Usability Scale testing methods are the most commonly used in the review papers. This testing method is a type of method that performs testing for the flow and how the chatbot works to achieve functional validation completely.
Prediksi Kemampuan Siswa Dalam Bersaing di Dunia Kerja Menggunakan Perbandingan Algoritma Naïve Bayes Dan K-Nearest Neighbor Andi Purnomo; Ahmad Sururi
ICIT Journal Vol 8 No 1 (2022): Februari 2022
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (831.563 KB) | DOI: 10.33050/icit.v8i1.2171

Abstract

SMK Yadika 5 Pondok Aren setiap tahunnya meluluskan + 200 siswa/i nya. Semakin ketatnya persaingan dalam dunia kerja maka kualitas pendidikan pada siswa/i SMK Yadika 5 Pondok Aren adalah salah satu tujuan dari sekolah. Kurangnya daya serap lulusan SMK Yadika 5 Pondok Aren di dunia kerja menjadi salah satu persoalan penting yang harus segera diperbaiki, belum adanya sebuah pola dalam memprediksi siswa yang belum mampu memenuhi beberapa faktor dalam perekrutan karyawan di sebuah perusahaan maupun industri. Oleh karena itu, perlu adanya sebuah sistem untuk menemukan sebuah pola dalam melakukan prediksi siswa/i SMK Yadika dalam bersaing di dunia kerja. Salah satu Teknik pengolahan data yang dapat digunakan adalah Data Mining. Dalam pengolahan Data Mining ini peneliti menggunakan metode klasifikasi dengan algoritma Naïve Bayes dan membandingkan dengan algoritma K-Nearest Neighbor serta melakukan pengujian pada nilai precision, nilai recall, nilai akurasi. Berdasarkan pengujian yang telah dilakukan dalam penelitian ini mendapati hasil bahwa Algoritma Naïve Bayes memiliki Akurasi 97.66 % , Nilai Precision 100% , dan Nilai Recall 97.59% sedangkan Algoritma K-Nearest Neighbor mendapati hasil Nilai Akurasi 98.22 % , Nilai Precision 99.38% , Nilai Recall 98.77 %. Dari hasil yang didapatkan maka algoritma Naïve Bayes dan K-Nearest Neighbor dapat diterapkan serta dijadikan suatu pola baru dalam memprediksi siswa dalam memenuhi beberapa faktor dalam perekrutan karyawan di sebuah perusahaan maupun industri. Keywords— Data Mining, Algoritma Naïve Bayes, Algoritma K-Nearest neighbor
MENGGAPAI PELESTARIAN LINGKUNGAN HIDUP DI INDONESIA: Studi Perbandingan Etika Islam dan Etika Ekofeminisme Ahmad Sururi
FIKRAH Vol 2, No 1 (2014): Fikrah
Publisher : Prodi Aqidah dan Filsafat Islam, Jurusan Ushuluddin, Institut Agama Islam Negeri Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (314.456 KB) | DOI: 10.21043/fikrah.v2i1.552

Abstract

Co-Authors Andi Purnomo Arief Wibowo Miftahul Arifin Rakhmat Rakhmat Ratna Ayu Sekarwati Sobri Effendy