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All Journal Indonesian Green Technology Journal Jurnal Teknologi Informasi dan Ilmu Komputer International Journal of Artificial Intelligence Research Journal of Computer Networks, Architecture and High Performance Computing Social Science Academic
Siti Mutrofin
Universitas 17 Agustus 1945 Surabaya
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Preprocessing of Skin Images and Feature Selection for Early Stage of Melanoma Detection using Color Feature Extraction Sari, Yuita Arum; Hapsani, Anggi Gustiningsih; Adinugroho, Sigit; Hakim, Lukman; Mutrofin, Siti
International Journal of Artificial Intelligence Research Vol 4, No 2 (2020): December 2020
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3183.967 KB) | DOI: 10.29099/ijair.v4i2.165

Abstract

Preprocessing is an essential part to achieve good segmentation since it affects the feature extraction process. Melanoma have various shapes and their extracted features from image are used for early stage detection. Due to the fact that melanoma is one of dangerous diseases, early detection is required to prevent further phase of cancer from developing. In this paper, we propose a new framework to detect cancer on skin images using color feature extraction and feature selection. The default color space of skin images is RGB, then brightness is added to distinguish the normal and darken area on the skin. After that, average filter and histogram equalization are applied as well for attaining a good color intensities which are capable of determining normal skin from suspicious one. Otsu thresholding is utilized afterwards for melanoma segmentation. There are 147 features extracted from segmented images. Those features are reduced using three types of feature selection algorithms: Linear Discriminant Analysis (LDA), Correlation based Feature Selection (CFS), and Relief. All selected features are classified using k-Nearest Neighbor  (k-NN). Relief is known to be the best feature selection method among others and the optimal k value is 7 with 10-cross validation with accuracy of 0.835 and 0.845, without and with feature selection respectively. The result indicates that the frameworks is applicable for early skin cancer detection.
Komparasi Kinerja Algoritma C4.5, Gradient Boosting Trees, Random Forests, dan Deep Learning pada Kasus Educational Data Mining Mutrofin, Siti; Machfud, M. Mughniy; Satyareni, Diema Hernyka; Ginardi, Raden Venantius Hari; Fatichah, Chastine
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 4: Agustus 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020742665

Abstract

Penentuan jurusan di SMA Negeri 1 Jogoroto, Jombang, Jawa Timur menggunakan kurikulum 2013, di mana penentuan jurusan siswa tidak hanya melibatkan keinginan siswa, tes peminatan yang dilakukan siswa di SMA pada minggu pertama, tetapi juga dilengkapi dengan nilai siswa semasa di SMP (nilai rapor siswa, nilai Ujian Nasional, serta rekomendasi guru Bimbingan Konseling), rekomendasi orang tua siswa. Selama ini, sekolah menggunakan proses konvensional dalam menentukan jurusan, yaitu menggunakan Microsoft Excel, yang cenderung lama serta rawan akan kekeliruan dalam melakukan penghitungan. Penentuan jurusan ini dilakukan setiap awal ajaran baru pada siswa baru kelas X. Rata-rata setiap tahun, sekolah mengelola siswa sejumlah 290 dengan waktu dan sumber daya manusia yang terbatas. Pada penelitian ini, penggunaan algoritma ID3 tidak cocok karena data bertipe numerik, sedangkan ID3 hanya mampu menggunakan data bertipe nomial maupun polinomial, sehingga diganti algoritma C4.5. Namun, beberapa penelitian mengatakan algoritma C4.5 memiliki kinerja kurang bagus dibandingkan algoritma Gradient Boosting Trees, Random Forests, dan Deep Learning. Untuk itu, dilakukan perbandingan antara keempat metode tersebut untuk melihat keefektifannya dalam menentukan jurusan di SMA. Data yang digunakan pada penelitian ini adalah data penerimaan siswa baru tahun ajaran 2018/2019. Hasil dari penelitian ini menunjukkan jika atribut yang digunakan bertipe polinomial dengan Deep Learning memiliki kinerja paling unggul untuk semua algoritma jika menggunakan fungsi activation ExpRectifier. Sedangkan jika atributnya bertipe numerik, Deep Learning memiliki kinerja paling unggul untuk semua algoritma jika menggunakan fungsi Tanh untuk semua random sampling. Namun, Deep Learning memiliki kinerja paling buruk untuk semua algoritma jika menggunakan loss Function berupa absolut.  Abstract In SMAN 1 Jombang, East Java, the process of determining the students’ majors referred to the 2013 curriculum in which not only the students’ own choices and specialization tests conducted in their first week of SMA were considered but also the student’s SMP grades (a report card, UN scores, and counseling teacher’s recommendation) and parents' recommendation. So far, the school had used Microsoft Excel which required a long time to do and was prone to calculation errors in the process of determination. The process was carried out, with limited time and human resources, at the beginning of a new academic year for grade X students, consisting of 290 students on average. In this present research, the use of ID3 algorithm was not suitable because of its numeric data type instead of nominal or polynomial data. Thus, the C4.5 algorithm was applied, instead. However, the performance of C4.5 algorithm was proved lower than the algorithms of Gradient Boosting Trees, Random Forests, and Deep Learning. Hence, a comparison of performance between them was done to see their effectiveness in the process. The data was the list of new students of the academic year 2018/2019. The results showed that if the attributes are polynomial, the Deep Learning algorithm had the best performance when using the ExpRectifier activation function. When they were numeric, Deep Learning has the most superior performance when using the Tanh function. However, Deep Learning has the worst performance when using the loss function in the form of absolute.
Web-based Application for Savings and Payment Management using CodeIgniter case study Elementary School Mutrofin, Siti; Widodo, Arif; Kurniawan, Eddy
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 2 (2023): Article Research Volume 5 Issue 2, July 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i2.2724

Abstract

Schools often face problems in manually recording student contributions and savings: ineffectiveness, inefficiency, and inaccuracies in recording, calculating, or the three data are needed again. In this study, we offer Savings Management Information Systems (SiMantab), which aim to solve these problems. In order to realize the research objectives, we proposed to apply CodeIgniter to develop SiMantab for recording student data, student guardians, information on savings, reports on student transactions, and payments. The outcomes of this research are: 1) SiMantab can generate daily savings reports for each student and provide reports for student guardians'; 2) SiMantab allows student guardians to monitor payment activities such as tuition fees in auto debit savings; 3) SiMantab is able to convey information bills statement on the student guardian's menu; and 4) The school obtain information on students' payments record based on the student data such as gender and class displayed on the supervisor's main menu.
Effect of Soaking Time Using Petroleum Ether on the Feather Morphology of Native Chicken Darjito, Darjito; Tjahjanto, Rachmat T.; Mutrofin, Siti; Sinambela, Lopian S. P.
Indonesian Green Technology Journal Vol. 14 No. 2 (2025): Indonesian Green Technology Journal
Publisher : Sekolah Pascasarjana, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.igtj.2025.014.02.01

Abstract

The process of extracting keratin from chicken feathers needs to be treated initially to remove some of the compounds that can reduce the extraction results. Petroleum ether can serve as a degreaser in the initial process of washing. This study focuses on the effect of the long time of soaking the feathers of free-range chickens with petroleum ether on the soxhlet process with different time variations on the change in mass and morphological changes of the feathers of free-range chickens. In this study, several stages were carried out, namely (1) Washing chicken feathers using liquid detergent, (2) Washing chicken feathers using acetone, and (3) Washing chicken feathers using petroleum ether with varying soaking times. The results of the 3 stages of washing the feathers of free-range chickens can change the morphology of chicken feathers from rough black to bright gray with soft texture and the influence of the soaking time using petroleum ether is that the longer the soaking time, the greater the shrinkage value of the chicken feathers studied.
Dampak Pernikahan dibawah Umur Terhadap Keharmonisan Rumah Tangga di Desa Badegan Kecamatan Badegan Kabupaten Ponorogo Mutrofin, Siti; Kadenun, Kadenun; Fathoni, Khoirul
Social Science Academic Vol. 1 No. 2 (2023)
Publisher : Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/ssa.v1i2.2880

Abstract

Marriage is a sacred bond between a man and a woman as husband and wife with the aim of forming a sakinah family, so that marriage towards a sakinah family requires not only physical and mental preparation but also socio-economic, emotional and responsibility readiness. Thus limiting the age of marriage is one of the important principles because the Marriage Law is already regulated and clear. However, in Badegan Village, Badegan District, Ponorogo Regency, there are still many underage marriages which will have an impact on the harmony of a household. With a qualitative descriptive approach, this journal will describe some of the data obtained from the field, both by interviews, observation, and documentation as a data collection method, then proceed with the process of data reduction, data presentation and drawing conclusions using data analysis methods. In addition, the data analysis process is also supported by literature review as a reference to strengthen data obtained from the field. From the results of this study it can be concluded that the factors that cause underage marriages in Badegan Village, Badegan District, Ponorogo Regency are pregnancies outside of marriage which are influenced by the lack of parental supervision and the willingness of the child itself. So that underage marriages have a great impact on household harmony because maturity and personal integrity are not stable in resolving existing problems. Some of the impacts of underage marriages are the increased burden on parents, lack of independence and divorce.
Fotodegradasi Zat Warna Metil Jingga Dengan TiO2/CuO-Zeolit-Alginat Pada Sinar UV Al Rasyid, Ridho Arief; Wardhani, Sri; Mutrofin, Siti
Indonesian Green Technology Journal Vol. 10 No. 2 (2021): Indonesian Green Technology Journal
Publisher : Sekolah Pascasarjana, Universitas Brawijaya

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Abstract

TiO2/CuO-Zeolit-Alginat dibuat melalui metode impregnasi basah dan penambahan natrium alginat. Tujuan penelitian ini adalah degradasi Metil Jingga menggunakan fotokatalis TiO2/CuO-Zeolit-Alginat serta mengkaji jenis fotokatalis, lama penyinaran, dan konsentrasi Metil Jingga. Jenis sinar yang digunakan adalah sinar UV dengan panjang gelombang 365 nm. Perbandingan jenis fotokatalis dilakukan melalui fotodegradasi 25 mL Metil Jingga 20 mg/L dengan 150 mg fotokatalis dan disinari selama 2 jam. Variasi lama penyinaran dilakukan selama 60, 90, 120, 150, dan 180 menit. Variasi konsentrasi zat warna sebesar 50, 100, 150, 200, 250 mg/L. Hasil dari jenis fotokatalis dan pengemban dikarakterisasi menggunakan FTIR dan XRD. Hasil degradasi diukur dengan spektrofotometer UV-Vis pada panjang gelombang 464 nm. Hasil penelitian menunjukkan bahwa fotokatalis TiO2/CuO pada bilangan gelombang 480,63 cm-1 menunjukkan gugus fungsi Cu-O dan TiO2/CuO-Zeolit dengan software match! 3 menunjukkan fasa mordenit, TiO2 fasa anastase dan rutil, serta fasa CuO. TiO2/CuO-Zeolit yang digunakan uji aktivitas fotokatalis menunjukkan bahwa degradasi Metil Jingga lebih besar dibandingkan TiO2/CuO-Zeolit-Alginat. Lama penyinaran dan konsentrasi Metil Jingga memberikan pengrauh degradasi Metil Jingga. Kondisi optimum fotodegradasi diperoleh pada lama penyinaran 2 jam. Pada konsentrasi 250 mg/L fotodegradasi Metil Jingga dihasilkan degradasi sebesar 39%.
Sintesis Granul TiO2-Bentonit/Alginat Untuk Fotodegradasi Metilen Biru Sari, Antika Ratna; Wardhani, Sri; Mutrofin, Siti
Indonesian Green Technology Journal Vol. 10 No. 2 (2021): Indonesian Green Technology Journal
Publisher : Sekolah Pascasarjana, Universitas Brawijaya

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Abstract

Penelitian ini bertujuan untuk sintesis fotokatalis TiO2-bentonit/Alginat granul,mengetahui pengaruh pengemban bentonit dalam fotokatalis, pengaruh konsenterasi TiO2 dalam bentonit, pengaruh lama penyinaran dan pengaruh pH terhadap degradasi metilen biru dengan menggunakan sinar UV panjang gelombang 365 nm. Sintesis fotokatalis dilakukan dengan impregnasi basah TiO2 dalam bentonit dengan komposisi konsenterasi TiO2 dalam bentonit  0,0075; 0,01; 0,0125; 0,015; 0,02; dan 0,025 mol/g bentonit. TiO2 dan TiO2-Bentonit dikarakterisasi menggunakan FTIR dan XRD. Variasi lama penyinaran yang digunakan adalah 20, 60, 100, 140, dan 180 menit. Variasi pH yang digunakan adalah pH 3, 5, 7, 9, dan 11. Volume, konsentrasi metilen biru, dan massa fotokatalis yang digunakan berturut-turut adalah 25 mL, 10 mg/L, dan 100 mg. Penentuan absorbansi metilen biru secara spektrofotometri UV-Vis pada panjang gelombang 664 nm. Hasil karakterisasi dengan FTIR menunjukkan munculnya vibrasi Ti-O-Ti pada bilangan gelombang 623,25 cm-1, 708,83 cm-1. Karakterisasi dengan XRD menunjukkan bahwa TiO2 mempunyai 2 fasa yaitu rutil dan anatase dengan komposisi 64,8% dan 35,2%. Berdasarkan analisis Match!3 bentonit merupakan fasa montmorillonit. Hasil fotodegradasi menunjukkan bahwa fotokatalis TiO2-Bentonit/Alginat memiliki persentase degradasi lebih baik dibandingkan TiO2/Alginat. Persentase degradasi optimum dicapai pada fotokatalis komposisi TiO2-bentonit  0,015 mol/ g bentonit,  lama penyinaran 100 menit dan pH 7 dengan degradasi sebesar 82,33%.
Sintesis Granul TiO₂-Fe₂O₃-Bentonit/Alginat Untuk Fotodegradasi Metil Jingga dengan Sinar UV Rahmawati, Ida; Wardhani, Sri; Mutrofin, Siti
Indonesian Green Technology Journal Vol. 10 No. 2 (2021): Indonesian Green Technology Journal
Publisher : Sekolah Pascasarjana, Universitas Brawijaya

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Abstract

Sintesis Granul TiO₂-Fe₂O₃-Bentonit/Alginat dilakukan untuk mendegradasi metil jingga dengan sinar UV. TiO₂ dimodifikasi dengan menambahkan dopan Fe dan diembankan ke bentonit. Sintesis Granul TiO₂-Fe₂O₃-Bentonit/Alginat dibuat dengan komposisi Fe dalam TiO₂-Fe₂O₃ dengan perbandingan mol 97:1, 97:2, dan 97:3 yang diimpregnasikan ke dalam bentonit. Fotokatalis hasil sintesis dikarakterisasi dengan FT-IR dan XRD. Fotokatalis sebanyak 100 mg diuji aktivitasnya menggunakan 25 mL larutan metil jingga 10 mg/L. Parameter fotodegradasi yang dilakukan adalah pengaruh konsentrasi Fe (0,001 mol/g; 0,002 mol/g, dan 0,003 mol/g), lama penyinaran (1; 1,5; 2; 2,5;, dan 3 jam), dan Variasi pH (2, 3, 5, 7, 9, 11). Filtrat larutan metil jingga setelah degradasi diukur absorbansinya dengan spektrofotometer UV-Vis pada λ = 464 nm untuk menentukan konsentrasi metil jingga. Karakterisasi dengan FT-IR menunjukkan adanya serapan Ti—O—Ti pada bilangan gelombang 436,42 cm⁻¹ dan serapan Fe—O bilangan gelombang 517,71 cm⁻¹. Karakterisasi dengan XRD diketahui struktur TiO₂ adalah anatase dan rutil pada 2θ = 25,30° dan 27,43°  serta terdapat nilai 2θ = 33,50° yang menunjukkan pola difraksi Fe₂O₃. Uji aktivitas menunjukkan dopan Fe dapat meningkatkan aktivitas degradasi TiO₂. Uji pengaruh konsentrasi Fe, lama penyinaran, dan pH menghasilkan konsentrasi Fe 0,001 mol/g memiliki aktivitas degradasi optimum sebesar 15,9%, lama penyinaran optimun selama 2 jam sebesar 22,7%, dan pH optimum pada pH 3 sebesar 44%.
Co-Authors Al Rasyid, Ridho Arief Arif Widodo Chastine Fatichah Darjito Darjito Diema Hernyka Satyareni Eddy Kurniawan Ginardi, R.V. Hari Hapsani, Anggi Gustiningsih IDA RAHMAWATI Kadenun Kadenun, Kadenun Khoirul Fathoni Lukman Hakim Machfud, M. Mughniy Sari, Antika Ratna Sigit Adinugroho Sinambela, Lopian S. P. Sri Wardhani Tjahjanto, Rachmat T. Yuita Arum Sari