Article Per Year (5 Year)
p-Index From 2021 - 2026
1.547
P-Index
This Author published in this journals
All Journal Jurnal Buana Informatika POSITIF Proceeding of the Electrical Engineering Computer Science and Informatics INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Jurnal Pilar Nusa Mandiri Konvergensi Jurnal Sisfokom (Sistem Informasi dan Komputer) Energy : Jurnal Ilmiah Ilmu-Ilmu Teknik Journal of Information Systems and Informatics International Journal of Engagement and Empowerment (IJE2) Jurnal Minfo Polgan (JMP) Jurnal Informatika Teknologi dan Sains (Jinteks)
Aang Kisnu Darmawan
Universitas Islam Madura
Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Mathematics Mechanical Engineering Social Sciences Other

Published : 19 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search
Journal : Jurnal Buana Informatika

 1 
SISTEM CERDAS PENDUGAAN SALINITAS AIR LAUT BERDASARKAN CITRA LANDSAT MENGGUNAKAN METODE Adaptive Neuro Fuzzy Inference System ( ANFIS ) Walid, Miftahul; Darmawan, Aang Kisnu
Jurnal Buana Informatika Vol 9, No 1 (2018): Jurnal Buana Informatika Volume 9 Nomor 1 April 2018
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jbi.v9i1.1283

Abstract

Abstract. The purpose of this research is to predict the sea surfce salinity, so that it can be used as refractory material for salt production. Salinity is the soluble salt content in water and the suitable the salinity standard in salt industry will give an impact on the quality of the salt produced. The method of this research is Adaptive Neuro Fuzzy Inference System (ANFIS). The system in this research works by extracting landsat 8 image to produce some value variable which is used as dataset in ANFIS system such as red , green, blue, Longitude and Latitude value. Its dataset will be divided to training and testing data. Training data is used to train the ANFIS system while testing data is used to measure the prediction accuracy resulted by ANFIS. in order to know the level of accuracy by using Root Means Square Error ( RMSE ) method is used to measure the accuracy level. The system has been able to make predictions with error rate of 2,0267 in average.Keywords: Salinity, Landsat Image, Smart System, ANFIS.Abstrak. Penelitian ini bertujuan untuk memprediksi salinitas air laut yang bisa dijadikan sebagai bahan refrensi untuk produksi garam. Salinitas adalah kadar garam terlarut dalam air, dengan salinitas yang sesuai standart dalam industri garam akan berdampak pada kualitas garam yang dihasilkan. Metode yang digunakan dalam penelitian ini adalah Adaptive Neuro Fuzzy Inference System ( ANFIS ). Sistem kerja dalam penelitian ini dengan mengekstraksi citra landsat 8 sehingga menghasilkan beberapa variabel yang dijadikan sebagai dataset dalam sistem ANFIS diantaranya adalah variabel red, green, blue, Longitude dan Latitude. Dataset tersebut akan dibagi menjadi data Training dan data Testing. Data Training digunakan untuk melatih sistem ANFIS sedangkan data Testing digunakan untuk mengukur akurasi prediksi yang dihasilkan oleh ANFIS. Pengukuran tingkat akurasi menggunakan metode Root Means Square Error ( RMSE ). Sistem yang dibuat telah mampu melakukan prediksi dengan tingkat error rata – rata 2,0267.Kata Kunci: Salinitas, Citra Landsat, Sistem Cerdas, ANFIS.
ANALISIS DOMAIN BAI, DSS, DAN MEA PADA PENGUKURAN KUALITAS LAYANAN E-GOVERNMENT KABUPATEN PAMEKASAN MENGGUNAKAN FRAMEWORK COBIT 5.0 Darmawan, Aang Kisnu; Harto, Arisandi Dwi
Jurnal Buana Informatika Vol 10, No 1 (2019): Jurnal Buana Informatika Volume 10 Nomor 1 April 2019
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (357.824 KB) | DOI: 10.24002/jbi.v10i1.1769

Abstract

Abstract. This study aims to audit and evaluate the Dispendukcapil e-Government services in Pamekasan Regency using COBIT 5 Framework. The audit was conducted at the Dispendukcapil Office of Pamekasan Regency. The samples are four Districts and twelve Sub-districts / Villages that were considered quite representative. .The results show that overall capability audit results of the level of ICT services in the Pamekasan District Dispendukcapil are at level 3 (Establish) meaning that the process of ICT services has been implemented according to the existing ICT service standards. The detailed index value of the capability level of each domain is the BAI 2.85 domain (Established), DSS 2.50 domain (Established) and MEA domain 2.83 (Established). Field findings show that business processes in ICT governance of e-government services at the sub-district, village and village levels are at an incomplete level, meaning there is virtually no ICT governance process at that level. The need of fuller more authority on governance is suggested and recommended to be done at the sub-district and village / kelurahan levels by adding competent human resources in the ICT field to provide better e-government services.Keywords:E-Government, Capability Level, COBIT 5.0Abstrak. Penelitian ini bertujuan untuk melakukan audit dan evaluasi terhadap layanan e-Government Dispendukcapil Kabupaten Pamekasan dengan metode Framework COBIT 5. Audit dilakukan di Kantor Dispendukcapil Kabupaten Pamekasan. Sampel Layanan e-Government ialah empat Kecamatan dan 12 Kelurahan/Desa yang dianggap cukup representatif. Hasil penelitian menunjukkan secara keseluruhan hasil audit capability level layanan TIK Dispendukcapil kabupaten Pamekasan berada pada level 3 (Establish) dimana proses layanan TIK sudah terimplementasi sesuai standard layanan TIK yang ada. Rincian nilai indeks capability level masing-masing domain adalah domain BAI 2,85 (Established), domain DSS 2,50 (Established) dan domain MEA 2,83 (Established). Temuan menunjukkan bahwa proses bisnis dalam tata kelola TIK layanan e-government di tingkat kecamatan, kelurahan dan desa berada pada level 0 (incomplete), berarti hampir tidak ada sama sekali proses tata kelola layanan TIK di tingkatan tersebut. Diperlukan kewenangan yang lebih banyak pada tatakelola di tingkat kecamatan, dan desa/kelurahan dengan menambahkan SDM yang kompeten dalam bidang TIK untuk memberikan layanan e-government yang lebih baik.Kata Kunci: E-Government, Capability Level, COBIT 5.0.
SISTEM CERDAS PENDUGAAN SALINITAS AIR LAUT BERDASARKAN CITRA LANDSAT MENGGUNAKAN METODE Adaptive Neuro Fuzzy Inference System ( ANFIS ) Miftahul Walid; Aang Kisnu Darmawan
Jurnal Buana Informatika Vol. 9 No. 1 (2018): Jurnal Buana Informatika Volume 9 Nomor 1 April 2018
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jbi.v9i1.1283

Abstract

Abstract. The purpose of this research is to predict the sea surfce salinity, so that it can be used as refractory material for salt production. Salinity is the soluble salt content in water and the suitable the salinity standard in salt industry will give an impact on the quality of the salt produced. The method of this research is Adaptive Neuro Fuzzy Inference System (ANFIS). The system in this research works by extracting landsat 8 image to produce some value variable which is used as dataset in ANFIS system such as red , green, blue, Longitude and Latitude value. Its dataset will be divided to training and testing data. Training data is used to train the ANFIS system while testing data is used to measure the prediction accuracy resulted by ANFIS. in order to know the level of accuracy by using Root Means Square Error ( RMSE ) method is used to measure the accuracy level. The system has been able to make predictions with error rate of 2,0267 in average.Keywords: Salinity, Landsat Image, Smart System, ANFIS.Abstrak. Penelitian ini bertujuan untuk memprediksi salinitas air laut yang bisa dijadikan sebagai bahan refrensi untuk produksi garam. Salinitas adalah kadar garam terlarut dalam air, dengan salinitas yang sesuai standart dalam industri garam akan berdampak pada kualitas garam yang dihasilkan. Metode yang digunakan dalam penelitian ini adalah Adaptive Neuro Fuzzy Inference System ( ANFIS ). Sistem kerja dalam penelitian ini dengan mengekstraksi citra landsat 8 sehingga menghasilkan beberapa variabel yang dijadikan sebagai dataset dalam sistem ANFIS diantaranya adalah variabel red, green, blue, Longitude dan Latitude. Dataset tersebut akan dibagi menjadi data Training dan data Testing. Data Training digunakan untuk melatih sistem ANFIS sedangkan data Testing digunakan untuk mengukur akurasi prediksi yang dihasilkan oleh ANFIS. Pengukuran tingkat akurasi menggunakan metode Root Means Square Error ( RMSE ). Sistem yang dibuat telah mampu melakukan prediksi dengan tingkat error rata – rata 2,0267.Kata Kunci: Salinitas, Citra Landsat, Sistem Cerdas, ANFIS.
ANALISIS DOMAIN BAI, DSS, DAN MEA PADA PENGUKURAN KUALITAS LAYANAN E-GOVERNMENT KABUPATEN PAMEKASAN MENGGUNAKAN FRAMEWORK COBIT 5.0 Aang Kisnu Darmawan; Arisandi Dwi Harto
Jurnal Buana Informatika Vol. 10 No. 1 (2019): Jurnal Buana Informatika Volume 10 Nomor 1 April 2019
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jbi.v10i1.1769

Abstract

Abstract. This study aims to audit and evaluate the Dispendukcapil e-Government services in Pamekasan Regency using COBIT 5 Framework. The audit was conducted at the Dispendukcapil Office of Pamekasan Regency. The samples are four Districts and twelve Sub-districts / Villages that were considered quite representative. .The results show that overall capability audit results of the level of ICT services in the Pamekasan District Dispendukcapil are at level 3 (Establish) meaning that the process of ICT services has been implemented according to the existing ICT service standards. The detailed index value of the capability level of each domain is the BAI 2.85 domain (Established), DSS 2.50 domain (Established) and MEA domain 2.83 (Established). Field findings show that business processes in ICT governance of e-government services at the sub-district, village and village levels are at an incomplete level, meaning there is virtually no ICT governance process at that level. The need of fuller more authority on governance is suggested and recommended to be done at the sub-district and village / kelurahan levels by adding competent human resources in the ICT field to provide better e-government services.Keywords:E-Government, Capability Level, COBIT 5.0Abstrak. Penelitian ini bertujuan untuk melakukan audit dan evaluasi terhadap layanan e-Government Dispendukcapil Kabupaten Pamekasan dengan metode Framework COBIT 5. Audit dilakukan di Kantor Dispendukcapil Kabupaten Pamekasan. Sampel Layanan e-Government ialah empat Kecamatan dan 12 Kelurahan/Desa yang dianggap cukup representatif. Hasil penelitian menunjukkan secara keseluruhan hasil audit capability level layanan TIK Dispendukcapil kabupaten Pamekasan berada pada level 3 (Establish) dimana proses layanan TIK sudah terimplementasi sesuai standard layanan TIK yang ada. Rincian nilai indeks capability level masing-masing domain adalah domain BAI 2,85 (Established), domain DSS 2,50 (Established) dan domain MEA 2,83 (Established). Temuan menunjukkan bahwa proses bisnis dalam tata kelola TIK layanan e-government di tingkat kecamatan, kelurahan dan desa berada pada level 0 (incomplete), berarti hampir tidak ada sama sekali proses tata kelola layanan TIK di tingkatan tersebut. Diperlukan kewenangan yang lebih banyak pada tatakelola di tingkat kecamatan, dan desa/kelurahan dengan menambahkan SDM yang kompeten dalam bidang TIK untuk memberikan layanan e-government yang lebih baik.Kata Kunci: E-Government, Capability Level, COBIT 5.0.
Co-Authors Agus Hermanto Anekawati, Anik Anwari . Anwari Anwari Anwari, Anwari Arisandi Dwi Harto Bakir Busro Umam Daniel Oranova Siahaan Daryanto, Eko Dwi Kartony Abdul Jalil Dwiharto, Arisandi Efenie, Yuri Harto, Arisandi Dwi Hoiriyah Hoiriyah Hoiriyah Hoiriyah, . Hoiriyah, Hoiriyah Hoiriyah, Hoiriyah Hozairi Imam Arifin Ismiyati Iwan Santosa Kartini Kartini Mardiana, Helva Masdukil Makruf, Masdukil Mohammad Bhanu Setyawan Mohammad Waail Al Wajieh Muhammad Agus Muljanto Muhsi Muqaddas, Zaiful Nur Umamah Qomariya, Nurul Ronny Mardiyanto, Ronny Salman Alfarisi Setijadi, Eko Tony Dwi Susanto Tri Yandi Umam, Busro Umam, Busro Akramul Usman Abrori Walid, Miftahul Wrahatnala, Ery Sadewa Yudha