Article Per Year (5 Year)
p-Index From 2021 - 2026
3.923
P-Index
This Author published in this journals
All Journal Jurnal Teknik Sipil Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Proceedings ACES (Annual Civil Engineering Seminar) Jurnal Teknik Journal of Geoscience, Engineering, Environment, and Technology RACIC : Rab Construction Research Jurnal Sinergitas PkM & CSR JURNAL SAINTIS Jurnal Penelitian IPTEKS Jurnal Infrastruktur Journal of Infrastructure and Civil Engineering Bhakti Nagori (Jurnal Pengabdian kepada Masyarakat) Techno SAINSTEK Jurnal Teknologi & Rekayasa Sipil BATOBO: Jurnal Pengabdian Kepada Masyarakat
Yohanna Lilis H
Universitas Riau
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Physics Public Health Social Sciences Transportation Other

Published : 81 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search
Journal : Journal of Infrastructure and Civil Engineering

 1 
Kalibrasi Model Soil Moisture Accounting dengan Software HEC-HMS di Stasiun Debit Pasir Pangaraian Yohanna Lilis Handayani; Gopal Adya Ariska; David Imannuel Ketaren
Journal of Infrastructure and Civil Engineering Vol. 1 No. 01 (2021)
Publisher : Program Studi Teknik Sipil Sekolah Tinggi Teknologi Pekanbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1042.33 KB) | DOI: 10.35583/jice.v1i01.4

Abstract

This research aims to compare the results of the calibration of the Soil Moisture Accounting (SMA) model using Percent Error in Volume (PEV) and Peak Weighted Root Mean Square Error (RMSE). The SMA model calibration uses the HEC-HMS (Hydrologic Engineering Center – Hydrologic Modeling System). There are 12 calibrated parameters by automatic calibration. The input data are the area of the watershed, daily rainfall, daily discharge data and climatological data. The data used is data from 2008 to 2017. The results show that PEV performance shows good results. While the RMSE showed poor results. PEV results are best at 7 years of calibration and 3 years of verification. The length of the calibration data has not affected the verification results.
Pemetaan Salinitas Sumur Dangkal Berdasarkan Jumlah Konsentrasi Garam Di Kecamatan Tebing Tinggi Dan Tebing Tinggi Barat Kabupaten Kepulauan Meranti M. Khairul Annam; Yohanna Lilis Handayani; Lita Darmayanti
Journal of Infrastructure and Civil Engineering Vol. 2 No. 01 (2022)
Publisher : Program Studi Teknik Sipil Sekolah Tinggi Teknologi Pekanbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1621.622 KB) | DOI: 10.35583/jice.v2i01.12

Abstract

This study was conducted to analyze the salinity of shallow well water so as to get an overview of the distribution of groundwater salinity at the research location. The research location is in the Selatpanjang City area, precisely in the Tebing Tinggi District and part of the Tebing Tinggi Barat District, Meranti Islands Regency. The research site is surrounded by the sea and rivers. Many people in the research location live in coastal areas. In coastal areas or near bodies of water, tidal water can enter up to the ground level and even onto roads. This situation makes people think that their groundwater is polluted due to tidal water entering the mainland. This research can provide information to the government and the community at the research site regarding the distribution of groundwater salinity that has occurred. The data analysis used is the interpolation method by creating a mapping using the ArcGIS application. Data analysis can be done after getting the data from the salinity measurement in the field. The water quality test parameters reviewed in this study were the salinity value of shallow wells water measured with a refractometer and marked the coordinates of the sample using the Avenza Maps application. In this study, 57 shallow wells were taken randomly. The results of field measurements show that based on salt concentration, shallow well water is classified as dubious and dangerous.
Analisis Jumlah Stasiun Hujan pada DAS Rokan dengan Metode Stepwise Ghiffa Syauqiyya Harahap; Manyuk Fauzi; Yohanna Lilis Handayani; Randhi Saily
Journal of Infrastructure and Civil Engineering Vol. 3 No. 1 (2023)
Publisher : Program Studi Teknik Sipil Sekolah Tinggi Teknologi Pekanbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35583/jice.v3i1.34

Abstract

Dalam upaya pengelolaan kualitas air, pembangunan bangunan air harus tepat agar dapat mempertahankan kualitas dan kuantitas air. Pada perencanaan bangunan air diawali dengan analisis hidrologi. Untuk mendapatkan data hidrologi yang akurat, dibutuhkan jumlah pos hujan yang cukup dan tersebar secara merata sehingga bisa mewakili kondisi hidrologi pada daerah pengaruhnya. DAS Rokan memiliki 13 pos hujan dengan luas daerah pengaruh 15.341 km2. Karena jumlah pos hujan yang cukup banyak maka perlu dilakukan rasionalisasi untuk melihat pos hujan mana yang paling erat hubungannya dengan pos duga air. Pada penelitian ini dilakukan evaluasi kerapatan jaringan pos hujan menggunakan standar WMO dan analisis hubungan pos hujan dan pos duga air menggunakan metode stepwise. Analisis ini menggunakan 11 pos hujan dari 13 pos hujan yang ada yaitu pos hujan yang memenuhi persentase luasan diatas 1% pada Polygon Thiessen. Hasil evaluasi kerapatan pos hujan dengan standar WMO masih belum memenuhi persyaratan karena jika dilihat dari luas daerah pengaruhnya penyebaran pos hujan pada DAS Rokan ini belum merata. Hasil analisis menggunakan metode stepwise tidak dapat digunakan karena didapatkan rekomendasi dengan jumlah 2 pos hujan sedangkan berdasarkan standar WMO DAS Rokan minimal harus memiliki 7 pos hujan. Pada metode stepwise-enter dihasilkan kombinasi 7 pos hujan dengan nilai korelasi sebesar 0,965.
Kalibrasi Model Soil Moisture Accounting dengan Software HEC-HMS di Stasiun Debit Pasir Pangaraian Handayani, Yohanna Lilis; Adya Ariska, Gopal; Ketaren, David Imannuel
Journal of Infrastructure and Civil Engineering Vol. 1 No. 01 (2021)
Publisher : Program Studi Teknik Sipil Sekolah Tinggi Teknologi Pekanbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35583/jice.v1i01.4

Abstract

This research aims to compare the results of the calibration of the Soil Moisture Accounting (SMA) model using Percent Error in Volume (PEV) and Peak Weighted Root Mean Square Error (RMSE). The SMA model calibration uses the HEC-HMS (Hydrologic Engineering Center – Hydrologic Modeling System). There are 12 calibrated parameters by automatic calibration. The input data are the area of the watershed, daily rainfall, daily discharge data and climatological data. The data used is data from 2008 to 2017. The results show that PEV performance shows good results. While the RMSE showed poor results. PEV results are best at 7 years of calibration and 3 years of verification. The length of the calibration data has not affected the verification results.
Pemetaan Salinitas Sumur Dangkal Berdasarkan Jumlah Konsentrasi Garam Di Kecamatan Tebing Tinggi Dan Tebing Tinggi Barat Kabupaten Kepulauan Meranti Annam, M. Khairul; Handayani, Yohanna Lilis; Darmayanti, Lita
Journal of Infrastructure and Civil Engineering Vol. 2 No. 01 (2022)
Publisher : Program Studi Teknik Sipil Sekolah Tinggi Teknologi Pekanbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35583/jice.v2i01.12

Abstract

This study was conducted to analyze the salinity of shallow well water so as to get an overview of the distribution of groundwater salinity at the research location. The research location is in the Selatpanjang City area, precisely in the Tebing Tinggi District and part of the Tebing Tinggi Barat District, Meranti Islands Regency. The research site is surrounded by the sea and rivers. Many people in the research location live in coastal areas. In coastal areas or near bodies of water, tidal water can enter up to the ground level and even onto roads. This situation makes people think that their groundwater is polluted due to tidal water entering the mainland. This research can provide information to the government and the community at the research site regarding the distribution of groundwater salinity that has occurred. The data analysis used is the interpolation method by creating a mapping using the ArcGIS application. Data analysis can be done after getting the data from the salinity measurement in the field. The water quality test parameters reviewed in this study were the salinity value of shallow wells water measured with a refractometer and marked the coordinates of the sample using the Avenza Maps application. In this study, 57 shallow wells were taken randomly. The results of field measurements show that based on salt concentration, shallow well water is classified as dubious and dangerous.
Analisis Jumlah Stasiun Hujan pada DAS Rokan dengan Metode Stepwise Harahap, Ghiffa Syauqiyya; Fauzi, Manyuk; Handayani, Yohanna Lilis; Saily, Randhi
Journal of Infrastructure and Civil Engineering Vol. 3 No. 1 (2023)
Publisher : Program Studi Teknik Sipil Sekolah Tinggi Teknologi Pekanbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35583/jice.v3i1.34

Abstract

Dalam upaya pengelolaan kualitas air, pembangunan bangunan air harus tepat agar dapat mempertahankan kualitas dan kuantitas air. Pada perencanaan bangunan air diawali dengan analisis hidrologi. Untuk mendapatkan data hidrologi yang akurat, dibutuhkan jumlah pos hujan yang cukup dan tersebar secara merata sehingga bisa mewakili kondisi hidrologi pada daerah pengaruhnya. DAS Rokan memiliki 13 pos hujan dengan luas daerah pengaruh 15.341 km2. Karena jumlah pos hujan yang cukup banyak maka perlu dilakukan rasionalisasi untuk melihat pos hujan mana yang paling erat hubungannya dengan pos duga air. Pada penelitian ini dilakukan evaluasi kerapatan jaringan pos hujan menggunakan standar WMO dan analisis hubungan pos hujan dan pos duga air menggunakan metode stepwise. Analisis ini menggunakan 11 pos hujan dari 13 pos hujan yang ada yaitu pos hujan yang memenuhi persentase luasan diatas 1% pada Polygon Thiessen. Hasil evaluasi kerapatan pos hujan dengan standar WMO masih belum memenuhi persyaratan karena jika dilihat dari luas daerah pengaruhnya penyebaran pos hujan pada DAS Rokan ini belum merata. Hasil analisis menggunakan metode stepwise tidak dapat digunakan karena didapatkan rekomendasi dengan jumlah 2 pos hujan sedangkan berdasarkan standar WMO DAS Rokan minimal harus memiliki 7 pos hujan. Pada metode stepwise-enter dihasilkan kombinasi 7 pos hujan dengan nilai korelasi sebesar 0,965.
Co-Authors ', Fitriani Adiyka Fasanovri Asfa Adiyka Fasanovri Asfa, Adiyka Fasanovri Adya Ariska, Gopal Al-Khani, M. Rizki Alfianis Alfianis amad, Ali Amalia Masturah Aminuyati Andy Hendri, MT, Andy Annam, M. Khairul Annisa Destiany Ariani Kurnia, Ariani Bambang Sujatmoko Buchori Buchori Buchori Buchori, Buchori Bunga Rafikah Zaki David Imannuel Ketaren David Imannuel Ketaren Dickky Yusman Dwiegi Safitri Febriani Dwiegi Safitri Febriani Elianora - Elvi Yenie, Elvi Ermiyati Ermiyati Ermiyati Ermiyati, Ermiyati Eryan Chintya Debby Fauzi, Manyuk Febrira Ulya Astuti Fitriani Fitriani Fuad Riyadhi Ghiffa Syauqiyya Harahap Gopal Adya Ariska Harahap, Ghiffa Syauqiyya Harry Dias Darmawan Haryo Dipa Horas Saut Maringan Hugo Pratama Husnah Husnah Ilham Burhanudin Imam Suprayogi Indah Ameliana Beza Isdianto Isdianto Isdianto, Isdianto Ismeddyanto, Ismeddiyanto Joleha, Joleha Junius Nainggolan Karunia, Ariani Ketaren, David Imannuel Khotimah, Gina Khusnul Lilianti Lilianti Lita Darmayanti M Ramadani M. Khairul Annam Mardani Sebayang Meiki Prayudi Mourbas, Arin Mudjiatko, Mudjiatko Muhammad Nur Fajri Muhammad Wildan Pahlevi Nadhella Ghaifany Neneng Sari Nensi Norima Sabrina Okdika Berliandra Oktavia, Gumi Oni Loretha Permata Amanda De Novin R Putra Kurniawan Rahma Setya Linggasari, Rahma Setya Randhi Saily Rian Trikomara Iriana Rifandri, Danus Rinaldi Rinaldi Rinaldi Rinaldi Robby Aulia Syuhada Rohman Rosyid Rosyid, Rohman S Siswanto Safridatul Audah Saragi, Setiadi Siahaan, Haryanto Simanjuntak, Valentino Sinta Afdeni Siswanto Soewignjo Agus Nugroho Soewignjo Agus Nugroho Solihin, Muhamamad Afdel Suci Amalia Sudirman Sudirman Sutikno, Sigit Sutopo Sutopo Syahrul Ramadhani Syamsul Arifin Syuhaya Wanisakdiah Thessalonika Thessalonika Thessalonika, Thessalonika Trimaijon Triyono Triyono Wan Bunda Theresia Wibowo Suarno Putra Yesy Dian Permatasari, Yesy Dian