Modeling the Level of Drinking Water Clarity in Surabaya City Drinking Water Regional Company Using Combined Estimation of Multivariable Fourier Series and Kernel
Round 1
Reviewer 1 Report
The authors have studied a model that involves the relationship between the level of clarity of drinking water and the composition of the chemicals used. The composition of chemicals would impact on the problem of efficient financing and could control the quality of the water have been obtained. The authors have used a multivariable linear approach for some parametric components, a multivariable Fourier series approach for some nonparametric components, and a multivariable kernel approach for semi-parametric regression. The performance of this technique is then evaluated using the Gaussian Kernel and Fourier Series with a trend in the drinking water clarity level data obtained from PDAM Surabaya.
This paper is well written. This paper can be accepted after the following points have been taken into account:
1. The novelty shall be emphasized.
2. The practical application shall be stated in Conclusion.
3. The obtained results shall be compared with the previous works.
4. All references shall be in united format.
Author Response
The Honorable reviewer 1,
Thank you very much for your kindness to give me some comments and suggestions. l sincerely appreciate the professor's guidance and editing in making this paper better. My revisions are highlight in yellow.
I enclose this letter and look forward to hearing from you soon.
Kind regards,
Andi Tenri Ampa
Author Response File: 
Author Response.pdf
Reviewer 2 Report
In this paper, the authors proposed an appropriate model to predict the composition of chemical use at the Regional Water Company (PDAM) Surabaya. Their model is to determine the composition of chemicals that will impact the problems of efficient financing and can control the quality of the water that has been obtained. In their results, they show that their model provides a good performance.
This paper has the potential to be published in the Sustainability. However, significant improvements should be required for readers' understanding without confusion. Please check the following points carefully to improve the quality of your paper.
[1] In the abstract, Line 12, The word ”Water” in the beginning is redundant.
[2] This paper included many mathematical symbols. Please give a notes table for clearly the formulas.
[3] Please give more references with recent years.
[4] Please give citation well which is your created formula and which is from other scholars.
[5] I think Subsection 3.3 is your experiment results. You can give this section in Section 4. (Usually we give experiment results in Section 4.) Furthermore, give section 4 conclusion in section 5.
[6] Please give some data types in the paper and tell the reader how you used your formula to execute your data. Also, indicates what kind of software you used for your experiments.
[7] Please give more clear conclusions. You mention you examining the outcomes by using various types of kernels, but I can’t see any different kernel results in subsection 3.3. I suggest you provide more clear comparisons in your experiments and give more clear conclusions in the final section.
[8] This paper should be rewritten clearly. Several grammar mistakes in English exist in this paper, which needs to be carefully checked and revised.
Author Response
The Honorable reviewer 2,
Thank you very much for your kindness to give me some comments and suggestions. l sincerely appreciate the professor's guidance and editing in making this paper better. My revisions are highlight in Green.
I enclose this letter and look forward to hearing from you soon.
Kind regards,
Andi Tenri Ampa
Author Response File: Author Response.pdf
